**Location:** Remote (Taiwan or Hong Kong)

**Compensation:** $25/hour

**Language Requirement:** Fluent in **Mandarin Chinese** and **proficient in English**

### **About Mercor**

Mercor helps **a billion people find their next job**. We work with **Silicon Valley’s top AI labs and tech companies** to recruit experts who train AI models across disciplines.

Our revenue grew from **$1M to $500M in 17 months**, and we’re backed by **Benchmark, Peter Thiel, Jack Dorsey, Adam D’Angelo, and Larry Summers**.

### **The Role**

We’re hiring **Recruiters (Contractors)** to help build Mercor’s expert network across East Asia. You’ll source and engage contractors for **AI and data projects** with leading U.S. clients.

This is a **fully remote individual contributor role**. While we prefer candidates **based in Taiwan or Hong Kong**, we also welcome applicants from other locations who have strong familiarity with these markets and are ready to recruit there effectively.

### **Responsibilities**

- Source and screen qualified contractors using regional channels (e.g., LinkedIn, BOSS直聘, 104 Job Bank, WeChat, alumni groups).
    
- Communicate with candidates in **Mandarin and English** to answer questions and guide them through the process.
    
- Manage pipelines efficiently and deliver qualified talent quickly.
    

### **Requirements**

- **2+ years** of recruiting or sourcing experience.
    
- **Fluent Mandarin** and strong English skills.
    
- Organized, detail-oriented, and comfortable with **AI recruiting tools**.
    

### **Why Mercor**

- Work directly with **world-leading AI labs**.
    
- Join one of the **fastest-growing startups globally**.
    
- Earn **competitive hourly pay** with weekly payouts.
    
- Be part of a mission to **connect a billion people with meaningful work**.

Hi {{first\_name}},

We appreciate your patience regarding your application for {{listing\_name}}. Unfortunately, the initial slots for this project have now been filled, and the project manager hasn't moved forward with your application at this stage.

However, projects frequently expand, and more opportunities often become available on short notice. We'll keep your application in a paused state - should more slots become available, you'll automatically be considered for them.

In the meantime, we encourage you to explore other [open roles](https://work.mercor.com/explore) on Mercor. We'll continue to consider you for suitable opportunities.

Thanks for your understanding,
The Mercor Team

Recruiter (Contractor - East Asia)

## **Role Overview**

As an SRE at Mercor, you’ll build and automate the systems that keep our platform reliable, scalable, and fast. You’ve driven measurable reliability improvements in large, high-throughput environments and are comfortable working across every layer of the stack—from infrastructure to application.

You have a strong aptitude for solving complex problems in distributed systems and take pride in understanding how everything fits together. You thrive in fast-moving environments, using observability platforms to gain deep insight into system behavior, and you’re passionate about building the dashboards, metrics, and alerts that keep Mercor’s infrastructure healthy and performant.

## **Responsibilities**

- Mentor engineers on best practices for observability, alert management, and instrumentation.
    
- Lead incident response from triage through post-mortem and remediation.
    
- Own and improve load-testing, disaster-recovery, and chaos-engineering programs.
    
- Automate reliability checks, capacity planning, and service-level monitoring.
    
- Partner with product and platform teams to design for reliability and scalability from the start.
    

## **Skills**

- Background in SRE
    
- Languages: Terraform, Python, Go
    
- Experience working with AWS
    

## **Nice to Have**

- Experience with RDBMS (MySQL)
    
- Experience with document storage systems (MongoDB)
    
- Experience with caching systems (Redis).
    
- Exposure to data warehousing (Snowflake).
    
- Previous work in a high-growth startup environment.

Hi {{first\_name}},

Thank you for applying to the {{listing\_name}} position through Mercor.

Unfortunately, after reviewing your application, the hiring manager decided not to move forward at this time.

If circumstances change or we find another opportunity that aligns with your profile, we'll be sure to reach out. In the meantime, we encourage you to explore other [open roles](https://work.mercor.com/explore) at Mercor that may be a better fit.

Thanks again for your interest, and best of luck in your job search.

The Mercor Team

Site Reliability Engineer (SRE)

Test

We’re looking for someone who wants to bring a full-stack perspective to data. As a Software Engineer supporting our Data function, you will be responsible for creating and maintaining pipelines that enable our Data Science, Engineering, and Product teams, and the wider Mercor organization.

Your focus will be on data reliability, availability, and timeliness, with a focus on collaboration (and significant operational crossover with) our Data Science team and the many partner functions.

**What You’ll Work On**

- Building robust pipelines to ingest, transform, and consolidate data from diverse sources (e.g., MongoDB, Airtable, PostHog, production databases).
    
- Designing dbt models and transformations to standardize and unify many disparate tables into clean, production-ready schemas.
    
- Implementing scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python.
    
- Partnering with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability.
    
- Owning data quality and reliability across the stack, from ingestion through to consumption.
    
- Continuously improving pipeline performance, monitoring, and scalability.
    

**What We’re Looking For**

- Proven experience in data engineering, with strong knowledge of SQL, Python, and modern data stack tools (Fivetran, dbt, Snowflake or similar).
    
- Experience building and maintaining large-scale ETL/ELT pipelines across heterogeneous sources (databases, analytics platforms, SaaS tools).
    
- Strong understanding of data modeling, schema design, and transformation best practices.
    
- Familiarity with data governance, monitoring, and quality assurance.
    
- Comfort working cross-functionally with engineering, product, and operations teams.
    
- Bonus: prior experience supporting machine learning workflows or analytics platforms.

Data Engineer

**Location**: Remote-friendly (US time zones); Geography restricted to US, UK, Canada
**Type**: Full-time or Part-time

### Why This Role Exists

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. That’s why we’re building a pod of AI Red-Teamers: human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red-team data that makes AI safer for our customers.

This role may include reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources.

### What You’ll Do

- Red-team AI models and agents: jailbreaks, prompt injections, misuse cases, exploits
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    Document reproducibly: produce reports, datasets, and attack cases customers can act on
    
- Flex across projects: support different customers, from LLM jailbreaks to socio-technical abuse testing
    

### Who You Are

- You bring either:
    
    - Prior red-teaming experience (AI adversarial work, cybersecurity, socio-technical probing), highly recommended; OR
        
    - **Extensive AI background/education that equips you to learn red-teaming fast**
        
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

### Nice-to-Have Specialties

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

### What Success Looks Like

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

### Why Join Mercor

- Build experience in human data-driven AI red-teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy
    

### About Mercor

Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.

Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Thousands of professionals across law, engineering, research, and creative fields collaborate with Mercor on frontier AI projects shaping the future.

**The pay rate for this role may vary by project, customer, and content category. Compensation will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work for each engagement.**

Please reach out to kaylamcelwee@mercor.com for next steps. We look forward to having you on our team!

AI Red-Teamer — Adversarial AI Testing (Novice)

**Location**: Remote-friendly (US time zones); Geography restricted to US, UK, Canada
**Type**: Full-time or Part-time

### Why This Role Exists

At Mercor, we believe the safest AI is the one that’s already been attacked — by us. That’s why we’re building a pod of AI Red-Teamers: human data experts who probe AI models with adversarial inputs, surface vulnerabilities, and generate the red-team data that makes AI safer for our customers.

This role may include reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources.

### What You’ll Do

- Red-team AI models and agents: jailbreaks, prompt injections, misuse cases, exploits
    
- Generate high-quality human data: annotate failures, classify vulnerabilities, and flag systemic risks
    
- Apply structure: follow taxonomies, benchmarks, and playbooks to keep testing consistent
    Document reproducibly: produce reports, datasets, and attack cases customers can act on
    
- Flex across projects: support different customers, from LLM jailbreaks to socio-technical abuse testing
    

### Who You Are

- You bring prior red-teaming experience (AI adversarial work, cybersecurity, socio-technical probing)
    
- You’re curious and adversarial: you instinctively push systems to breaking points
    
- You’re structured: you use frameworks or benchmarks, not just random hacks
    
- You’re communicative: you explain risks clearly to technical and non-technical stakeholders
    
- You’re adaptable: thrive on moving across projects and customers
    

### Nice-to-Have Specialties

- Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction
    
- Cybersecurity: penetration testing, exploit development, reverse engineering
    
- Socio-technical risk: harassment/disinfo probing, abuse analysis
    
- Creative probing: psychology, acting, writing for unconventional adversarial thinking
    

### What Success Looks Like

- You uncover vulnerabilities automated tests miss
    
- You deliver reproducible artifacts that strengthen customer AI systems
    
- Evaluation coverage expands: more scenarios tested, fewer surprises in production
    
- Mercor customers trust the safety of their AI because you’ve already probed it like an adversary
    

### Why Join Mercor

- Build experience in human data-driven AI red-teaming at the frontier of safety
    
- Play a direct role in making AI systems more robust, safe, and trustworthy
    

### About Mercor

Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.

Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Thousands of professionals across law, engineering, research, and creative fields collaborate with Mercor on frontier AI projects shaping the future.

**The pay rate for this role may vary by project, customer, and content category. Compensation will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work for each engagement.**

AI Red-Teamer — Adversarial AI Testing (Advanced)

**Location**: Remote-friendly (US time zones preferred); open to US, UK, Canada
  **Type**: Full-time or Part-time

### Why This Role Exists

At Mercor, we believe the foundation of AI safety is high-quality human data. Models can’t evaluate themselves — they need humans who can apply structured judgment to complex, nuanced outputs.

We’re building a flexible pod of Safety specialists: contributors from both technical and non-technical backgrounds who will serve as expert data annotators. This pod will annotate and evaluate AI behaviors to ensure the systems are safe.

No prior annotation experience is required — instead, we’re looking for people with the ability to make careful, consistent decisions in ambiguous situations.

This role may include reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources.

### What You’ll Do

- Produce high-quality human data by annotating AI outputs against safety criteria (e.g., bias, misinformation, disallowed content, unsafe reasoning, etc).
    
- Apply harm taxonomies and guidelines consistently, even when tasks are ambiguous.
    
- Document your reasoning to improve guidelines
    
- Collaborate to provide the human data that powers AI safety research, model improvements, and risk audits.
    

### Who You Are

- You bring experience in model evaluation, structured annotation, or applied research.
    
- You are skilled at spotting biases, inconsistencies, or subtle unsafe behaviors that automated systems may miss.
    
- You can explain and defend your reasoning with clarity.
    
- You thrive in a fast-moving, experimental environment where evaluation methods evolve quickly.
    
- Examples of past titles: Machine Learning Research Assistant, AI Evaluator, Data Scientist, Applied Scientist, Research Engineer, AI Safety Fellow, Annotation Specialist, Data Labeling Analyst, AI Ethics Researcher.
    

### What Success Looks Like

- Your annotations are accurate, high-quality and consistent, even across ambiguous cases.
    
- You help surface risks early that automated tools miss.
    
- Guidelines and taxonomies improve based on your feedback.
    
- The data you produce directly strengthens AI model safety and compliance.
    

### Why Join Mercor

- Work at the frontier of AI safety, providing the human data that shapes how advanced systems behave.
    
- Gain experience in a rapidly growing field with direct impact on how labs deploy frontier AI responsibly.
    
- Be part of a team committed to making AI systems safer, trustworthy, and aligned with human values.
    

### About Mercor

Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.

Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Thousands of professionals across law, engineering, research, and creative fields collaborate with Mercor on frontier AI projects shaping the future.

**The pay rate for this role may vary by project, customer, and content category. Compensation will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work for each engagement.**

AI Evaluation – Safety Specialist

**Location**: Remote-friendly (US time zones preferred); open to US, UK, Canada
**Type**: Full-time or Part-time

### Why This Role Exists

At Mercor, we believe the foundation of AI safety is high-quality human data. Models can’t evaluate themselves — they need humans who can apply structured judgment to complex, nuanced outputs.

We’re building a flexible pod of Safety specialists: contributors from both technical and non-technical backgrounds who will serve as expert data annotators. This pod will annotate and evaluate AI behaviors to ensure the systems are safe.

No prior annotation experience is required — instead, we’re looking for people with the ability to make careful, consistent decisions in ambiguous situations.

This role may include reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources.

### What You’ll Do

- Produce high-quality human data by annotating AI outputs against safety criteria (e.g., bias, misinformation, disallowed content, unsafe reasoning, etc).
    
- Apply harm taxonomies and guidelines consistently, even when tasks are ambiguous.
    
- Document your reasoning to improve guidelines
    
- Collaborate to provide the human data that powers AI safety research, model improvements, and risk audits.
    

### Who You Are

- You bring experience from national security, defense operations, government policy, or high-stakes communications.
    
- You’ve handled crisis management, policy briefings, congressional or executive-level communications, or large-scale operations.
    
- You excel at structured risk framing: spotting vulnerabilities early and communicating them clearly to decision-makers.
    
- You’re comfortable applying that mindset to the emerging risks of AI systems.
    
- Examples of past titles: Intelligence Officer/Analyst, Policy Advisor, Strategic Communications Specialist, Crisis Operations Manager, National Security Analyst, Foreign Affairs Specialist, Defense Policy Analyst, Government Relations Officer, Operations Planner, Legislative Analyst, Counterintelligence Officer.
    

### What Success Looks Like

- Your annotations are accurate, high-quality and consistent, even across ambiguous cases.
    
- You help surface risks early that automated tools miss.
    
- Guidelines and taxonomies improve based on your feedback.
    
- The data you produce directly strengthens AI model safety and compliance.
    

### Why Join Mercor

- Apply your national security or high-stakes communications expertise to a rapidly growing, high-impact field.
    
- Work at the frontier of AI safety, where your structured risk mindset is directly relevant.
    
- Be part of a team committed to making AI systems safer, trustworthy, and aligned with human values.
    

### About Mercor

Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.

Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Thousands of professionals across law, engineering, research, and creative fields collaborate with Mercor on frontier AI projects shaping the future.

**The pay rate for this role may vary by project, customer, and content category. Compensation will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work for each engagement.**

Strategic Risk & Analysis (National Security/Defense) – Safety Specialist

**Location**: Remote-friendly (US time zones preferred); open to US, UK, Canada
**Type**: Full-time or Part-time

### Why This Role Exists

At Mercor, we believe the foundation of AI safety is high-quality human data. Models can’t evaluate themselves — they need humans who can apply structured judgment to complex, nuanced outputs.

We’re building a flexible pod of Safety specialists: contributors from both technical and non-technical backgrounds who will serve as expert data annotators. This pod will annotate and evaluate AI behaviors to ensure the systems are safe.

No prior annotation experience is required — instead, we’re looking for people with the ability to make careful, consistent decisions in ambiguous situations.

This role may include reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources.

### What You’ll Do

- Produce high-quality human data by annotating AI outputs against safety criteria (e.g., bias, misinformation, disallowed content, unsafe reasoning, etc).
    
- Apply harm taxonomies and guidelines consistently, even when tasks are ambiguous.
    
- Document your reasoning to improve guidelines
    
- Collaborate to provide the human data that powers AI safety research, model improvements, and risk audits.
    

### Who You Are

- You come from a background in lab safety, biosafety, or environmental health and safety (EHS/EH&S).
    
- You’ve managed compliance, hazard training, or incident investigations.
    
- You understand the importance of preventing accidents, documenting incidents, and enforcing safety protocols.
    
- You can adapt operational safety methods to the context of AI systems and data evaluation.
    
- Examples of past titles: Lab Safety Officer, Biosafety Specialist, EHS Manager, Occupational Health & Safety Coordinator, Safety Compliance Officer, Industrial Hygienist, Environmental Health Specialist, Incident Investigator, Safety Program Manager.
    

### What Success Looks Like

- Your annotations are accurate, high-quality and consistent, even across ambiguous cases.
    
- You help surface risks early that automated tools miss.
    
- Guidelines and taxonomies improve based on your feedback.
    
- The data you produce directly strengthens AI model safety and compliance.
    

### Why Join Mercor

- Work at the frontier of AI safety, applying your EH&S expertise to a new and growing domain.
    
- Gain experience in a rapidly developing field where operational rigor is highly valued.
    
- Be part of a team committed to making AI systems safer, trustworthy, and aligned with human values.
    

### About Mercor

Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.

Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Thousands of professionals across law, engineering, research, and creative fields collaborate with Mercor on frontier AI projects shaping the future.

**The pay rate for this role may vary by project, customer, and content category. Compensation will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work for each engagement.**

Operational EH&S – Safety Specialist

**Location**: Remote-friendly (US time zones preferred); open to US, UK, Canada
 **Type**: Full-time or Part-time

### Why This Role Exists

At Mercor, we believe the foundation of AI safety is high-quality human data. Models can’t evaluate themselves — they need humans who can apply structured judgment to complex, nuanced outputs.

We’re building a flexible pod of Safety specialists: contributors from both technical and non-technical backgrounds who will serve as expert data annotators. This pod will annotate and evaluate AI behaviors to ensure the systems are safe.

No prior annotation experience is required — instead, we’re looking for people with the ability to make careful, consistent decisions in ambiguous situations.

This role may include reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources.

### What You’ll Do

- Produce high-quality human data by annotating AI outputs against safety criteria (e.g., bias, misinformation, disallowed content, unsafe reasoning, etc).
    
- Apply harm taxonomies and guidelines consistently, even when tasks are ambiguous.
    
- Document your reasoning to improve guidelines
    
- Collaborate to provide the human data that powers AI safety research, model improvements, and risk audits.
    

### Who You Are

- You have experience in risk management, compliance programs, or security audits.
    
- You are familiar with frameworks such as ISO 27001, SOC 2, or FedRAMP.
    
- You can build or apply audit checklists, dashboards, and trust center evidence.
    
- You bring a structured, detail-oriented approach to tracking risks and ensuring controls are followed.
    
- Examples of past titles: Risk Analyst, Compliance Manager, GRC Specialist, Security Auditor, Information Assurance Analyst, Internal Auditor, IT Risk Consultant, Risk & Compliance Officer, Controls Testing Analyst.
    

### What Success Looks Like

- Your annotations are accurate, high-quality and consistent, even across ambiguous cases.
    
- You help surface risks early that automated tools miss.
    
- Guidelines and taxonomies improve based on your feedback.
    
- The data you produce directly strengthens AI model safety and compliance.
    

### Why Join Mercor

- Work at the frontier of AI safety, providing the human data that shapes how models behave.
    
- Gain experience in a rapidly growing field with direct impact on how labs deploy advanced systems.
    
- Be part of a team committed to making AI systems safer, trustworthy, and aligned with human values.
    

### About Mercor

Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.

Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Thousands of professionals across law, engineering, research, and creative fields collaborate with Mercor on frontier AI projects shaping the future.

**The pay rate for this role may vary by project, customer, and content category. Compensation will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work for each engagement.**

Risk & Compliance (GRC) – Safety Specialist

**Location**: Remote-friendly (US time zones preferred); open to US, UK, Canada
**Type**: Full-time or Part-time

### Why This Role Exists

At Mercor, we believe the foundation of AI safety is high-quality human data. Models can’t evaluate themselves — they need humans who can apply structured judgment to complex, nuanced outputs.

We’re building a flexible pod of Safety specialists: contributors from both technical and non-technical backgrounds who will serve as expert data annotators. This pod will annotate and evaluate AI behaviors to ensure the systems are safe.

No prior annotation experience is required — instead, we’re looking for people with the ability to make careful, consistent decisions in ambiguous situations.

This role may include reviewing AI outputs that touch on sensitive topics such as bias, misinformation, or harmful behaviors. All work is text-based, and participation in higher-sensitivity projects is optional and supported by clear guidelines and wellness resources.

### What You’ll Do

- Produce high-quality human data by annotating AI outputs against safety criteria (e.g., bias, misinformation, disallowed content, unsafe reasoning, etc).
    
- Apply harm taxonomies and guidelines consistently, even when tasks are ambiguous.
    
- Document your reasoning to improve guidelines
    
- Collaborate to provide the human data that powers AI safety research, model improvements, and risk audits.
    

### Who You Are

- You have a background in trust & safety, governance, or policy-to-product frameworks.
    
- You’ve worked with harm taxonomies, safety-by-design principles, or regulatory frameworks (EU AI Act, NIST AI RMF).
    
- You’re skilled at translating abstract policies into concrete evaluation criteria.
    
- You’re motivated by reducing user harm and ensuring systems are safe, ethical, and compliant.
    
- Examples of past titles: Trust & Safety Analyst, Online Safety Specialist, Policy Researcher, Governance Specialist, UX Researcher, Risk & Policy Associate, Regulatory Affairs Analyst, Safety Policy Manager, Ethics & Compliance Coordinator.
    

### What Success Looks Like

- Your annotations are accurate, high-quality and consistent, even across ambiguous cases.
    
- You help surface risks early that automated tools miss.
    
- Guidelines and taxonomies improve based on your feedback.
    
- The data you produce directly strengthens AI model safety and compliance.
    

### Why Join Mercor

- Work at the frontier of AI safety, providing the human data that shapes how models behave.
    
- Gain experience in a rapidly growing field with direct impact on how labs deploy advanced systems.
    
- Be part of a team committed to making AI systems safer, trustworthy, and aligned with human values.
    

### About Mercor

Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations.

Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Thousands of professionals across law, engineering, research, and creative fields collaborate with Mercor on frontier AI projects shaping the future.

**The pay rate for this role may vary by project, customer, and content category. Compensation will be aligned with the level of expertise required, the sensitivity of the material, and the scope of work for each engagement.**

Hi {{first_name}},

We appreciate your patience regarding your application for {{listing_name}}. Unfortunately, the initial slots for this project have now been filled, and the project manager hasn't moved forward with your application at this stage.

However, projects frequently expand, and more opportunities often become available on short notice. We'll keep your application in a paused state - should more slots become available, you'll automatically be considered for them.

In the meantime, we encourage you to explore other [open roles](https://work.mercor.com/explore) on Mercor. We'll continue to consider you for suitable opportunities.

Thanks for your understanding,
The Mercor Team

Governance & Trust – Safety Specialist

## **Role Overview**

As an engineer at Mercor you will be focussed on improving the developer experience for SWE’s at Mercor. The goal is to identify and execute initiatives to unlock productivity, guardrails for the global Mercor engineering team. 

The general responsibilities and skills are listed below. This is a high leverage role that will impact the productivity of all Mercor engineers.

## **Responsibilities**

- **Design and build tools and processes** that help engineers move faster, automate manual work, and improve quality (local dev environments, code generation, CLI tools, automate repetitive activities, linting, security scans, dependency updates)
    
- **Use AI / AI tools to rethink** how we can become the most productive engineering team in the industry.
    
- **Partner with engineering teams**: Work with FE and backend engineers to identify bottlenecks, debug friction in workflows, and roll out solutions that scale to the entire team.
    
- **Champion modern practices**: Standardize the development environment using best practices and improve testing strategies.
    
- **Measure & evolve**: Instrument tools to track adoption and impact, and iterate based on feedback from users (Mercor engineers).
    

## **Skills**

- Background in **platform engineering or developer productivity** roles.
    
- Experience building **developer environments** using Docker, devcontainers, docker-compose, or native tooling.
    
- Proficient in at least one of **Python, Go, or scripting languages**, and comfortable with automation.
    
- Familiarity with **AWS** and cloud-native practices.
    
- Strong debugging and problem-solving skills; you care about _making other engineers’ lives easier_.
    
- Bonus: exposure to AI-assisted coding or developer tools.

Developer Experience Engineer

## **Role Overview**

As a Database Engineer at Mercor, you’ll own the performance, scalability, and reliability of our production database systems (primarily Amazon RDS for MySQL). You’ll work closely with backend engineers, infrastructure teams, and data stakeholders to ensure our systems are robust enough to handle rapid growth, and efficient enough to keep costs under control.

* * *

## **What You’ll Do**

- Design, scale, and maintain our production RDS clusters for high availability and performance.
    
- Tune queries, indexes, and schema to support low-latency workloads at scale.
    
- Own the observability including the monitoring, alerting, and performance dashboards for database health.
    
- Manage backups, restores, failovers, and disaster recovery procedures.
    
- Work with engineers to optimize data models, migrations, and query patterns.
    
- Introduce automation for routine tasks (e.g., patching, scaling, parameter tuning).
    
- Ensure security best practices (IAM roles, encryption, auditing, least-privilege access).
    
- Partner with product & infra teams to plan for capacity growth and major launches.
    

## **What We’re Looking For**

- 5+ years of experience managing production relational databases (MySQL).
    
- Strong SQL skills and hands-on experience with query optimization & index tuning.
    
- Experience with Amazon RDS (parameter groups, Multi-AZ, read replicas, Aurora)
    
- Solid understanding of database internals (transaction isolation, locking, replication).
    
- Familiarity with infrastructure as code (Terraform) is a plus.
    
- Comfort working with monitoring tools (CloudWatch, Datadog).
    
- Strong problem-solving and debugging skills; ability to deep dive into performance issues.
    
- Excellent communication skills and the ability to work cross-functionally.
    

## **Nice to Have**

- Experience with document storage systems (MongoDB)
    
- Experience with caching systems (Redis, ElastiCache).
    
- Exposure to data warehousing (Snowflake).
    
- Knowledge of security and compliance frameworks (SOC2, GDPR).
    
- Previous work in a high-growth startup environment.

Database Platform Engineer

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

As an Intelligent Identity Engineer, you will be responsible for designing, implementing, and scaling Mercor’s identity and access management systems. You’ll help us transition from a fragmented, manually managed identity landscape to an automated, AI-driven system that enforces least privilege by default. This role is critical to enabling rapid growth while protecting our data, ensuring compliance, and streamlining access for employees, contractors, and partners.

You’ll work closely with Engineering, Infrastructure, Security, and Operations to build out and maintain centralized access controls, integrate with critical platforms like Okta, and pioneer AI-based automation for provisioning and deprovisioning.

## **What You’ll Do**

- Design and implement centralized identity systems that serve as a single source of truth for access control
    
- Enforce least privilege principles by default across internal and external platforms
    
- Integrate Okta with contractor identity workflows and critical applications
    
- Develop automation for identity lifecycle management (onboarding, offboarding, role changes) using AI-driven workflows
    
- Build scalable abstractions for internal platform identity and database access
    
- Ensure compliance with industry standards (e.g., SOC 2, ISO 27001, NIST) as identity systems evolve
    
- Continuously evaluate and improve identity toolchains, policies, and enforcement mechanisms
    
- Partner with customers to support external provisioning workflows to third-party apps
    
- Stay ahead of emerging trends in identity management, IAM automation, and AI in access provisioning

Intelligent Identity Engineer (India)

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

As an Intelligent Identity Engineer, you will be responsible for designing, implementing, and scaling Mercor’s identity and access management systems. You’ll help us transition from a fragmented, manually managed identity landscape to an automated, AI-driven system that enforces least privilege by default. This role is critical to enabling rapid growth while protecting our data, ensuring compliance, and streamlining access for employees, contractors, and partners.

You’ll work closely with Engineering, Infrastructure, Security, and Operations to build out and maintain centralized access controls, integrate with critical platforms like Okta, and pioneer AI-based automation for provisioning and deprovisioning.

## **What You’ll Do**

- Design and implement centralized identity systems that serve as a single source of truth for access control
    
- Enforce least privilege principles by default across internal and external platforms
    
- Integrate Okta with contractor identity workflows and critical applications
    
- Develop automation for identity lifecycle management (onboarding, offboarding, role changes) using AI-driven workflows
    
- Build scalable abstractions for internal platform identity and database access
    
- Ensure compliance with industry standards (e.g., SOC 2, ISO 27001, NIST) as identity systems evolve
    
- Continuously evaluate and improve identity toolchains, policies, and enforcement mechanisms
    
- Partner with customers to support external provisioning workflows to third-party apps
    
- Stay ahead of emerging trends in identity management, IAM automation, and AI in access provisioning
    

## **Compensation**

- Base cash comp from **$130K–$250K**
    
- Generous equity grant
    
- Performance bonus
    
- A **$20K relocation bonus** (if moving to the Bay Area)
    
- A **$10K housing bonus** (if you live within 0.5 miles of our office)
    
- A **$1K monthly stipend** for meals
    
- Free Equinox membership
    
- Health insurance

Intelligent Identity Engineer (US)

**Build the AI that builds teams**

Mercor trains large-scale models that predict on-the-job performance more accurately than any human interview. Our platform already powers hiring at the top AI labs, and we scaled from $1 M to $100 M ARR in 11 months—making us the fastest-growing AI startup on record.

**What you’ll do**

In your first year you’ll ship production code every week across Python- and Go-based services and a React/Next.js frontend that screens millions of candidates. You’ll design new microservices—real-time ranking, interview analytics, and payouts that move millions of dollars—while pairing with senior engineers to profile, test, and harden our LLM-powered agents. You’ll speak directly with users, turn pain points into specs, and own features end-to-end.

**You’ll thrive here if**

You have solid CS fundamentals and projects you’re proud to demo; you iterate fast—prototype, test, ship in days—and care as much about product polish as system performance. Curiosity about LLMs, retrieval, and ranking is a bonus; you’ll learn alongside engineers who have shipped at Jane Street, Citadel, Databricks, and Stripe.

**Our stack**

Go · Python · React · AWS

Hi {{first\_name}},

Thank you for applying to the {{listing\_name}} position through Mercor.

After careful consideration, we’ve decided to move forward with other candidates for the full-time role. That said, we’re actively hiring for **part-time roles**, and I’d encourage you to apply [here](https://work.mercor.com/jobs/list_AAABmHHH-UeVmtqS-H9B07N8?referralCode=c728d56b-b0c3-4423-b3f1-eee571a7ec2c&utm_source=referral&utm_medium=share&utm_campaign=job_referral).

The Mercor Team

Senior Software Engineer (India)

Hi {{first\_name}},

Thank you for applying to the {{listing\_name}} position through Mercor.

After careful consideration, we’ve decided to move forward with other candidates for the full-time role. That said, we’re actively hiring for **part-time roles**, and we’d encourage you to apply [here](https://work.mercor.com/jobs/list_AAABmHHH-UeVmtqS-H9B07N8?referralCode=c728d56b-b0c3-4423-b3f1-eee571a7ec2c&utm_source=referral&utm_medium=share&utm_campaign=job_referral).

The Mercor Team

Software Engineer I (India)

Software Engineer II (India)

## About Mercor

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world.

## About the Role

The **Mercor Campus Representative Program** is designed to build Mercor’s presence at top universities while driving recruiting for our SPL/Engineering roles and expanding our expert network. As a Campus Representative, you’ll serve as the connector between Mercor and your university community, organizing events, driving referrals, and fostering relationships with talented students and experts.

This program is **exclusively open to current Master’s and PhD students** at top universities. As a Campus Representative, you’ll serve as the connector between Mercor and your university community, organizing events, driving referrals, and fostering relationships with talented students and experts.

It’s a strong fit for graduate students who are highly connected on campus, excited about AI and the future of work, and eager to develop leadership and event management skills while working closely with the Mercor team.

## Responsibilities

- **Recruiting & Referrals:** Promote Mercor SPL/Engineering roles and expert acquisition within your network using a personal referral code.
    
- **Campus Events:** Host an on-campus event this semester (workshops, panels, or info sessions) with Mercor team members or founders who may co-host or speak.
    
- **Community Engagement:** Identify and engage with high-reach communities (clubs, organizations, Discords, forums) on your university campus.
    
- **Collaboration with Mercor:** Join biweekly check-ins with the Mercor Growth team to track referrals and performance.
    

## Who We’re Looking For

- Current Master’s or PhD student at a top university.
    
- Actively involved in campus communities, organizations, or clubs.
    
- Strong communicator and networker who can authentically represent Mercor.
    
- Self-starter with initiative and creativity in event planning and outreach.
    

## Incentives & Benefits

### Performance-Based Rewards

Earn commission-based bonuses with higher payouts than standard referrals:

- 10 referrals → +$100
    
- 50 referrals → +$200
    
- 100 referrals → +$500
    
- 1,000 referrals → +$5,000
    

### Tiered Referral Bonuses

Additional % multipliers as you hit milestones:

- 1 successful referral → normal referral bonus
    
- 3 successful referrals → normal bonuses + 10% on next 7 referrals
    
- 10 successful referrals → normal bonuses + 15% on next 10 referrals
    
- 20 successful referrals → normal bonuses + 17% on next 30 referrals
    
- 50 successful referrals → normal bonuses + 20% on all future referrals
    

### Event Incentives

- $10 per unique attendee you bring to a Mercor event (attendee must not have attended a prior event).
    

### Ambassador Perks

- Exclusive Mercor Ambassador Package (special merch, stickers, and promotional materials).
    
- Direct collaboration with Mercor’s Growth team.
    
- Professional development sessions with Mercor leaders (20+ successful referrals).
    
- All-expenses-paid visit to Mercor’s San Francisco HQ (50+ successful referrals).

We're excited to welcome you as a Mercor Campus Representative for Fall 2025.

Hi {{first\_name}},

We appreciate your patience regarding your application for {{listing\_name}}. Unfortunately, the open spots have now been filled, and the Mercor Growth Team hasn't moved forward with your application at this stage.

In the meantime, we encourage you to explore other [open roles](https://work.mercor.com/explore) on Mercor. We'll continue to consider you for suitable opportunities.

Thanks for your understanding,
The Mercor Team

Mercor Campus Representative (Master’s & PhD Students)

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

As a DevOps Engineer at Mercor, you'll play a crucial role in helping us refine and scale our AI-powered hiring platform, which will create a billion opportunities.

You’ll be part of Infrastructure team responsible for making resources reliable and scalable. You will be working with an amazing team of experienced engineers and will get hand’s on experience on scaling systems from scratch.

## What Are We Looking For?

- Willing to align evening working hours with PT timezone through at least 12am PT.
    
- Bachelor’s degree or higher in computer science
    
- Have some past experience in Terraform.
    
- Experience with AWS
    
- Hands-on experience in SQL and NoSQL databases
    

## **Compensation**

- Base cash comp from $20K-$50k
    
- Performance bonuses up to 40% of base comp
    
- $500 referral bonuses available

DevOps Engineer (India)

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

## **Role Overview**

As a Platform Engineer at Mercor you will be focussed on building and maintaining horizontal, hardened services that support the development teams at Mercor. For example the development and evolution of http, messaging workflow or job execution platforms.  The work that you carry out in this role impacts almost all of the applications at Mercor.

## **Responsibilities**

- **Design & build shared platforms**: Deliver APIs, frameworks, and services that multiple teams can rely on (e.g., workflow engines, messaging systems, task execution sytems).
    
- **Accelerate other engineers**: Identify problems solved in silos, unify them into platforms, and improve developer velocity by reducing duplication.
    
- **Operate with reliability**: Own the production health of platform services, driving high availability and resilience.
    
- **Deep debugging across the stack**: Bring clarity to complex issues in compute, storage, networking, and distributed systems.
    
- **Evolve observability & automation**: Continuously enhance monitoring, tracing, logging, and alerting to give Mercor engineers actionable insights into their systems.
    
- **Advocate best practices**: Champion secure, scalable, and maintainable patterns that become the “paved road” for development teams.
    

## **Skills**

- Background in Platform Engineering
    
- Hands-on experience with **distributed systems, networking, and storage fundamentals**.
    
- Languages: Python, Go
    

## **Compensation**

- Base cash comp from $185-$300K
    
- Performance bonuses up to 40% of base comp
    
- $10k referral bonuses available

Platform Engineer

## **Build the AI that builds teams**

Mercor trains large-scale models that predict on-the-job performance more accurately than any human interview. Our platform already powers hiring at top AI labs, and we scaled from $1M to $100M ARR in 11 months—making us the fastest-growing AI startup on record.

## **What you’ll do**

In your first year you’ll ship analyses and experiments that move core product metrics—match quality, time-to-hire, candidate experience, and revenue. You’ll:

- Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems.
    
- Design/run A/B tests and quasi-experiments; turn results into product decisions the same week.
    
- Build source-of-truth dashboards and lightweight data models so teams can self-serve answers.
    
- Instrument events with engineers; improve data quality and latency from ingestion to insight.
    
- Prototype quick models (from baselines to gradient boosting) to improve matching and scoring.
    
- Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries.
    

## **You’ll thrive here if**

You have solid fundamentals (statistics, SQL, Python) and projects you’re proud to demo. You iterate fast—frame the question, test, and ship in days—and care as much about clarity of communication as you do about p-values. Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you’ll learn alongside folks who’ve shipped at Jane Street, Citadel, Databricks, and Stripe.

## **Qualifications**

- 0–2 years in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work).
    
- Strong SQL; Python for analysis; comfort with experiment design and causal thinking.
    
- Communicates crisply with engineers, PMs, and leadership; turns analysis into action.
    
- Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.
    

## **Perks**

- $20K relocation bonus
    
- $10K housing bonus
    
- $1K/month food stipend
    
- Equinox membership
    
- Health insurance

Data Scientist

### **About Mercor**

Mercor is building models that can predict how well someone will perform in a job — more accurately than humans can. Just as a human recruiter might review resumes, conduct interviews, and make hiring decisions, we automate that entire process using large language models. Our technology is trusted by all of the top 5 AI labs.

We’ve crossed a **$100M revenue run rate** and have averaged **59% month-over-month growth** for the past six months — making us the fastest-growing company in the world. The team is still small and highly profitable, but we can’t hire exceptional people fast enough to keep up with our growth.

* * *

### **About the Role**

As an **ML Engineer at Mercor**, you’ll work at the intersection of applied machine learning and large-scale production systems. You’ll help us refine and scale the models that power our AI-driven hiring platform — technology designed to create a billion jobs worldwide.

You’ll own critical pieces of our ML stack: training and evaluating models, optimizing inference performance, automating data pipelines, and deploying new systems that make our hiring predictions even more accurate. You’ll collaborate closely with researchers, data engineers, and product teams to push the boundaries of what’s possible with applied LLMs.

* * *

### **What You’ll Do**

- Design, train, and evaluate machine learning models that assess candidate quality and predict job performance.
    
- Work with large datasets (resumes, interviews, outcomes) to build and optimize data pipelines for training and inference.
    
- Develop scalable serving systems for ML models in production (on GCP or AWS).
    
- Collaborate on prompt and model optimization for LLMs, including fine-tuning and evaluation frameworks.
    
- Help improve the core ML infrastructure powering millions in weekly payouts and thousands of automated interviews.
    

* * *

### **What We’re Looking For**

- Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
    
- Strong proficiency in **Python** and familiarity with frameworks such as **PyTorch**, **TensorFlow**, or **JAX**.
    
- Experience designing schemas and managing large datasets (SQL and NoSQL).
    
- Comfort working with cloud infrastructure (**GCP** or **AWS**) for large-scale ML workloads.
    
- Familiarity with distributed training, experiment tracking, and model deployment pipelines.
    
- Attention to detail, intellectual curiosity, and eagerness to learn fast.
    
- Willingness to align working hours with **PT timezone** (through at least 11am PT).
    

* * *

### **Compensation**

- **Base cash comp:** $20K–$100K
    
- **Performance bonuses:** up to 40% of base comp
    
- **Referral bonuses:** $1K per hire

Machine Learning Engineer (India)

# Researcher, AI Evaluation

## About Mercor

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## About the Role

Silicon Valley’s top AI companies work with Mercor to find domain experts who can help train and evaluate their models. As a researcher on the evaluation team at Mercor, you will be responsible for advancing the frontier of model evaluations to drive model improvements across the industry that create real world economic value.
You will be frequently publishing impactful papers with industry leading collaborators, have ample resources to create high-impact datasets, and access to the frontier of evaluation and training data. You will work closely with Mercors’s Forward Deployed Research, Applied AI, and Operations teams, and have unmatched access to evaluate frontier models

We are looking for an experienced AI researcher. A track record of LLM evaluation publications is preferred but publication experience in evaluation of other types of models or other AI related publications are of interest as well.

## Key Responsibilities

- Build benchmarks that measure real world value of AI models.
    
- Publish LLM evaluation papers in top conferences with the support of the Mercor Applied AI and Operations teams.
    
- Push the frontier of understanding data ROI in model development including multi-modality, code, tool-use, and more.
    
- Design and validate novel data collection and annotation offerings for the leading industry labs and big tech companies.
    

## What Are We Looking For?

- PhD or M.S. and 2+ years of work experience in a computer science, electrical engineering, econometrics, or another STEM field that provides a solid understanding of ML and model evaluation.
    
- Strong publication record in AI research, ideally in LLM evaluation. Dataset and evaluation papers are preferred.
    
- Strong understanding of LLMs and the data on which they are trained and evaluated against.
    
- Strong communication skills and ability to present findings clearly and concisely.
    
- Familiarity with data annotation workflows.
    
- Good understanding of statistics.
    

## Compensation

- Base cash comp from $180K-$300K
    
- Generous equity grant
    
- A $20K relocation bonus (if moving to the Bay Area)
    
- A $10K housing bonus (if you live within 0.5 miles of our office)
    
- A $1K monthly stipend for meals
    
- Free Equinox membership
    
- Health insurance

Researcher, AI Evaluation

Mercor is seeking **software engineers** to build tooling and workflows, which will be used to create complex training and evaluation data for large language models. As part of this, you’ll work closely with Mercor’s Operations and Applied AI Engineering teams.

**Key Responsibilities:**

- Building data pipelines used to train frontier AI models
    
- Refining human expert-created datasets and transform them into signals used to evaluate models
    
- Generating analyses of model failure points on real world, professional workflows based on evaluation results
    

**You’re a strong fit if you have:**

- Previous founding or startup experience
    
- Fluency in Python and JavaScript
    
- Experience deploying LLMs or other models in production, including evaluation pipelines
    
- Attention to detail and eagerness to learn
    
- Prior experience with Airtable or similar tools
    

**Role details:**

- Part-time, project-based work with an expected duration of **4 weeks**, with the opportunity for extension based on mutual fit.
    
- Expected engagement: **30–40 hours per week**, depending on availability and project needs.
    
- 100% remote — work from anywhere.
    

**Compensation & Legal:**

- Contractor role via Mercor.
    
- Competitive hourly rate of **$40–$80 USD**, based on experience and domain relevance.
    
- Payments processed weekly through Stripe Connect.

Software Engineer - Tooling & AI Workflows (Contract)

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

Search Engineers at Mercor will primarily be focused on improving the performance of our search systems over 500M+ records. Your day to day might include:

- **Agent Development:** Create an automated agent that combines our search APIs, enrichment tools, and user tags to surface the best candidates.
    
- **Advanced Indexing**: Build hybrid and hierarchical retrieval indices over companies, education, and skills to boost relevance.
    
- **Query Understanding**: Develop models for routing, rewriting, and extracting user intent.
    
- **Evaluation & Tuning**: Improve performance on our expanding search eval set
    

## What Are We Looking For?

- Willing to align evening working hours with PT timezone through at least 11am PT.
    
- Bachelor’s degree or higher in computer science
    
- Fluency in backend (Python) demonstrated in shipped projects
    
- Direct experience integrating LLMs or AI-based systems into products
    
- Experience with Search or Recommendations systems (including retrieval, ranking, etc.)
    

## **Compensation**

- Base cash comp from $20K-$100K
    
- Performance bonuses up to 40% of base comp
    
- $1k referral bonuses available

Search/Data Engineer (India)

**About Mercor**
Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.
**About the Role**
Growth Product Managers at Mercor work at the intersection of product analytics, experimentation, and candidate go-to-market strategy. Your will be responsible for uncovering the highest-leverage levers that accelerate user acquisition, activation, engagement, and revenue; and work with Engineering, Data Science, and GTM teams to turn those insights into compounding growth.

As Mercor’s Product Manager in Growth, you will

- Optimize different performance marketing and organic marketing channels and other levers to ensure we hit the supply goals.
    
- Understand and optimize the candidate conversion funnels.
    
- Work on different product areas such as Matching, Application Flow, AI Interviewer, etc.
    
- Run A/B tests with the Platform Engineering team to turn hypotheses into wins.
    
- Translate insights into product features and work with the engineering team to deliver them.
    

The long term goal is to strengthen Mercor’s network effects and match top talent with companies faster and more profitably.
**What Are We Looking For?**

- Previous founding or startup experience or 5+ years of PM experience at top tech companies.
    
- Fluency in SQL and Python
    
- Strong Problem Solver and can work well across diverse stakeholders
    
- Is a truth-seeker and data-driven in decision-making
    
- You should be able to turn complex analyses into crisp narratives and be able to communicate well with leadership.
    
- Attention to detail and eagerness to learn
    

**Compensation**

- Base cash comp from $130K-$300K
    
- Generous equity grant
    
- Performance bonus
    
- A $20K relocation bonus (if moving to the Bay Area)
    
- A $10K housing bonus (if you live within 0.5 miles of our office)
    
- A $1K monthly stipend for meals
    
- Free Equinox membership
    
- Health insurance

Growth Associate

## **About Mercor**

Mercor uses LLMs to automate hiring better than humans. Our platform powers recruiting for the top 5 AI labs and we’ve hit a $100M+ run rate with 59% month-over-month growth — making us the fastest growing company in the world.

## **What You’ll Do**

- Design and build backend systems that support massive scale
    
- Ship critical features across core AI and product infrastructure
    
- Set technical direction and own end-to-end execution across our hiring and candidate facing platforms
    

## **What We’re Looking For**

- 5+ years of industry experience
    
- Experience at building scalable systems at a larger organization
    
- Undergraduate or graduate degree in Computer Science
    
- Nice to have: recent startup exposure — scrappy and hands-on
    

## **Perks**

- Generous liquid equity compensation
    
- $20K relocation bonus (Bay Area)
    
- $10K housing bonus
    
- $1K/month food stipend
    
- Free Equinox membership
    
- Health insurance

Hi {{first_name}},

Thank you for your interest in this position. Unfortunately, we are unable to move forward with your application at this time.

You can stay up to date with the latest opportunities on https://work.mercor.com. Or, to see the original listing, visit https://mercor.com/jobs/list_AAABl0FZPf6TnRa7yY9CPpyQ.

Please feel free to reach out with any questions.

The Mercor Team

Senior Software Engineer

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

As a Software Engineer at Mercor, you'll play a crucial role in helping us refine and scale our AI-powered hiring platform, which will create a billion jobs.

Members of our technical staff are responsible for improving the AI interview experience, processing millions in payouts each week, and building the most effective recruiting engine in the world.

## What Are We Looking For?

- Willing to align evening working hours with PT timezone through at least 11am PT.
    
- Bachelor’s degree or higher in computer science
    
- Fluency in React, Next.js, Python, or Go
    
- Experience designing schemas for SQL and NoSQL databases
    
- Experience with cloud platforms (GCP or AWS)
    
- Attention to detail and eagerness to learn
    

## **Compensation**

- Base cash comp from $20K-$100K
    
- Performance bonuses up to 40% of base comp

Hi {{first_name}},

Thank you for your interest in this position. Unfortunately, we are unable to move forward with your application at this time.

You can stay up to date with the latest opportunities on https://work.mercor.com. Or, to see the original listing, visit https://mercor.com/jobs/list_AAABld_ll8U7vx7Mu_FO87GU.

Please feel free to reach out with any questions.

The Mercor Team

Software Engineer (India)

## **Core Responsibilities**

1. **Technical QA of recorded interviews:** Reliably watch assigned interview recordings end‑to‑end.Flag & annotate issues such as premature termination, audio/video glitches etc.
    
2. **Fraud Investigation:** Review candidate profiles automatically flagged by our fraud‑detection system.Cross‑reference claims (education, accolades, employment) via online searches such as LinkedIn.
    
3. **\*\*Cheating Detection (most difficult)\*\*:** Identify subtle signs of external assistance (e.g., paraphrased AI‑generated answers, off‑camera prompts).Analyze eye movement, timing anomalies, and "AI‑likeness" of responses.Maintain and evolve a library of cheating patterns and decision criteria.
    

## **Must‑Have Qualifications**

- Exceptional English comprehension and concise written communication.
    
- Familiarity with LinkedIn / Assessing professional credentials.
    
- Strong critical thinking skills to differentiate genuine understanding from superficial or memorized responses.
    
- Ability to recognize jargon-heavy answers and evaluate candidates’ authentic knowledge.
    

## **Nice‑to‑Have Skills**

- Exposure to technical interviewing
    
- Familiarity with AI capabilities and common misuse patterns
    
- Previous experience with fraud/risk operations

QA Analyst

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## About the Role

If you don’t see a role that perfectly fits today, we still want to hear from you. By joining our Talent Pool, you can connect with us without a particular role in mind. We’ll check if anything we have is a good fit. If an opportunity comes up in the future, we’ll reach out to you then.

### What are we looking for?

- Passionate intensity—you chase what you love and are willing to work hard.
    
- You demand excellence in whatever you do.
    
- You have a “can do” attitude towards the world.

Hi {{first_name}},

Thank you for applying to the {{listing_name}} position through Mercor.

Unfortunately, after reviewing your application, the hiring manager decided not to move forward at this time. 

If circumstances change or we find another opportunity that aligns with your profile, we'll be sure to reach out. In the meantime, we encourage you to explore other [open roles](https://work.mercor.com/explore) at Mercor that may be a better fit.

Thanks again for your interest, and best of luck in your job search.

The Mercor Team

Talent Pool

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

As an Applied AI Engineer at Mercor, you'll work at the intersection of machine learning research, product engineering, and customer success.

You’ll be responsible for refining human datasets and transforming them into model-ready signals. You’ll also translate real-world insights into product and infrastructure features that meaningfully improve the platform. In addition, you’ll run tight feedback loops across the Ops and Engineering teams to ensure clients get the maximum value from Mercor by building tooling and prototypes.

## What Are We Looking For?

- Previous founding or startup experience
    
- Fluency in React, Next.js, and Python
    
- Experience designing schemas for SQL and NoSQL databases, Airflow or similar orchestration ETL tools
    
- Experience deploying LLMs or other models in production, including evaluation pipelines
    
- Experience with Systems Integration across recruitment systems, payments systems, CRMs and data warehouses
    
- Interest in evals, benchmarks and annotation tooling
    
- Attention to detail and eagerness to learn
    

## **Compensation**

- Base cash comp from $40K-$100K
    
- Performance bonuses up to 40% of base comp
    
- $1k referral bonuses available

Applied AI Engineer (India)

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

Silicon Valley’s top AI companies work with Mercor to find domain experts who can help train and evaluate their models. You’ll join Mercor as an **Account Executive**, partnering closely with our Strategic Projects Leads (SPLs) and GTM teams to win and expand relationships with Fortune 500 enterprises and high-growth startups across North America. Based in San Francisco, you’ll own the full sales cycle—from prospecting through close—bringing Mercor’s transformative hiring platform to the world’s leading AI organizations.

## **Key Responsibilities**

- Build pipeline across Fortune 500 and high-growth startups in North America using a mix of outbound, referrals, and events.
    
- Conduct discovery calls, live demos, and solution presentations; negotiate contracts; shepherd deals through legal and procurement.
    
- There’s no fixed quota—your success is measured by the new business you bring in. Every closed client earns commission.
    
- Collaborate with Strategic Projects Leads to scope custom engagements and with Sales Ops, Marketing, and Customer Success to align on pipeline generation and account handoff.
    
- Engage C-level and senior research leaders at top AI labs to understand their evolving talent-training needs and identify opportunities for account expansion.
    
- Relay market insights and customer feedback to help us continuously improve the Mercor platform.
    

## **What Are We Looking For?**

- 2+ years’ enterprise SaaS or tech-enabled services sales experience, ideally selling into large enterprises or venture-backed startups.
    
- Proven ability to work independently, managing one's own tasks and responsibilities
    
- Strong analytical and communication skills
    
- Bachelor’s degree
    

## **Compensation**

- Base cash comp from $100K-$140k
    
- On-Target Earnings (OTE) targeted at 100% of base
    
- Equity grant vested over 4 years
    
- A $20K relocation bonus (if moving to the Bay Area)
    
- A $10K housing bonus (if you live within 0.5 miles of our office)
    
- A $1K monthly stipend for meals
    
- Free Equinox membership
    
- Health insurance

Account Executive

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

An Executive Assistant will work directly with the CEO to organize his calendar, manage the office, and own strategic projects. You will gain significant visibility of Mercor’s operations, and add enormous value to the CEO’s daily workflow.

We're looking for candidates who are proactive, organized, and analytical. You should be high-energy and present well in front of external audiences. 

## **Key Responsibilities**

- Manage complex calendars and coordinate high-stakes meetings with internal and external stakeholders with high attention to detail.
    
- Draft, edit, and deliver a variety of communications, including emails and presentations, with precision and efficiency.
    
- Ideate, plan, and execute unique internal and external company events.
    
- Proactively identify and resolve operational challenges before they impact executive productivity.
    
- Serve as a liaison between executives and internal and external stakeholders, facilitating swift and effective communication.
    
- Manage travel arrangements for the company, along with any corresponding expense reports with utmost efficiency and accuracy.
    
- Take on special projects as needed, adapting quickly to new challenges and delivering results under tight deadlines.
    

## **What Are We Looking For?**

- GREAT energy and enthusiasm
    
- Proven track record of managing multiple high-priority tasks simultaneously in an extremely fast-paced environment
    
- Experience supporting company leadership and understanding their unique needs
    
- Strong aptitude and proficiency with productivity tools and software (i.e., Notion, G-Suite)
    

## **Compensation**

- Base cash comp from $100K-$160K
    
- Performance bonus
    
- A $10K housing bonus (if you live within 0.5 miles of our office)
    
- A $1K monthly stipend for meals
    
- Free Equinox membership
    
- Health insurance

Hi {{first_name}},

Thank you for your interest in this position. Unfortunately, we are unable to move forward with your application at this time.

You can stay up to date with the latest opportunities on https://work.mercor.com. Or, to see the original listing, visit https://mercor.com/jobs/list_AAABlZjTog_oT5Y0TfZF4KoJ.

Please feel free to reach out with any questions.

The Mercor Team

Executive Assistant

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

As the Information Security Lead, you will be responsible for defining, implementing, and managing our organization’s information security strategy. You’ll work across departments to identify risks, lead compliance initiatives, respond to threats, and foster a security-aware culture.

## What Are We Looking For?

- Develop, implement, and maintain the organization’s information security strategy, policies, and procedures
    
- Lead threat modeling, risk assessments, and vulnerability management programs
    
- Monitor security systems, analyze logs, and respond to security incidents and breaches
    
- Ensure compliance with industry standards (e.g., ISO 27001, SOC 2, NIST, HIPAA, etc.)
    
- Collaborate with DevOps, Engineering, Legal, and Product teams to embed security into product lifecycle
    
- Evaluate and implement security tools, including SIEM, EDR, firewalls, IAM, and DLP solutions
    
- Lead internal and external audits, and manage third-party security assessments
    
- Respond to and complete customer security questionnaires and due diligence requests
    
- Stay up to date with evolving threats, vulnerabilities, and regulatory requirements
    

## **Compensation**

- Base cash comp from $130K-$300K
    
- Generous equity grant
    
- Performance bonus
    
- A $20K relocation bonus (if moving to the Bay Area)
    
- A $10K housing bonus (if you live within 0.5 miles of our office)
    
- A $1K monthly stipend for meals
    
- Free Equinox membership
    
- Health insurance

Hi {{first_name}},

Thank you for your interest in this position. Unfortunately, we are unable to move forward with your application at this time.

You can stay up to date with the latest opportunities on https://work.mercor.com. Or, to see the original listing, visit https://mercor.com/jobs/list_AAABlkS7EwRc4HIATOJIjJC5.

Please feel free to reach out with any questions.

The Mercor Team

Information Security Lead

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## About the Role

As a Machine Learning Engineer at Mercor, you will build and optimize the backbone of Mercor’s core product: a model that predicts job performance.

Your contribution will play a critical role at helping every company find their perfect candidate, and will empower a billion people to find their next job.

## What Are We Looking For?

- Previous founding or startup experience
    
- Deep expertise in back-end development (Python/Django)
    
- Extensive experience working with LLMs
    
- Expertise in search or recommendation systems, data classification, or LTR models
    
- Exceptional attention to detail and a relentless willingness to learn
    

## **Compensation**

- Base cash comp from $130K-$300K
    
- Generous equity grant
    
- Performance bonus
    
- A $20K relocation bonus (if moving to the Bay Area)
    
- A $10K housing bonus (if you live within 0.5 miles of our office)
    
- A $1K monthly stipend for meals
    
- Free Equinox membership
    
- Health insurance

Hi {{first_name}},

Thank you for your interest in this position. Unfortunately, we are unable to move forward with your application at this time.

You can stay up to date with the latest opportunities on https://work.mercor.com. Or, to see the original listing, visit https://mercor.com/jobs/list_AAABlJtILQFLnbOxQORBY7E7.

Please feel free to reach out with any questions.

The Mercor Team

Machine Learning Engineer (L3-L5)

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

As an Applied AI Engineer at Mercor, you'll work at the intersection of machine learning research, product engineering, and customer success.

You’ll be responsible for refining human datasets and transforming them into model-ready signals. You’ll also translate real-world insights into product and infrastructure features that meaningfully improve the platform. In addition, you’ll run tight feedback loops across the Ops and Engineering teams to ensure clients get the maximum value from Mercor by building tooling and prototypes.

## What Are We Looking For?

- Previous founding or startup experience
    
- Fluency in React, Next.js, and Python
    
- Experience designing schemas for SQL and NoSQL databases, Airflow or similar orchestration ETL tools
    
- Experience deploying LLMs or other models in production, including evaluation pipelines
    
- Experience with Systems Integration across recruitment systems, payments systems, CRMs and data warehouses
    
- Attention to detail and eagerness to learn
    

## **Compensation**

- Base cash comp from $130K-$300K
    
- Generous equity grant
    
- Performance bonus
    
- A $20K relocation bonus (if moving to the Bay Area)
    
- A $10K housing bonus (if you live within 0.5 miles of our office)
    
- A $1K monthly stipend for meals
    
- Free Equinox membership
    
- Health insurance

Hi {{first_name}},

Thank you for your interest in this position. Unfortunately, we are unable to move forward with your application at this time.

You can stay up to date with the latest opportunities on https://work.mercor.com. Or, to see the original listing, visit https://mercor.com/jobs/list_AAABlmlUjFNWBdE31bNALLGU.

Please feel free to reach out with any questions.

The Mercor Team

Applied AI Engineer

## **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $100M revenue run rate and have averaged 59% month over month growth for the last 6 months, making us the fastest growing company in the world. The team is small and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

## **About the Role**

Growth Data Scientists at Mercor work at the intersection of product analytics, experimentation, and candidate go-to-market strategy. Your will be responsible for uncovering the highest-leverage levers that accelerate user acquisition, activation, engagement, and revenue; and work with Engineering, Product, and GTM teams to turn those insights into compounding growth.

As Mercor’s Growth Data Scientist, you will

- Own growth analytics end to end: design tracking plans, verify event quality, keep data accurate and organized in the warehouse
    
- Build predictive and causal models to uncover opportunities from channel ROI to cohort retention
    
- Run A/B tests with the Platform Engineering team to turn hypotheses into wins
    
- Translate insights into self-serve dashboards and concise briefs that guide every team’s decisions.
    

The long term goal is to strengthen Mercor’s network effects and match top talent with companies faster and more profitably.

## **What Are We Looking For?**

- Previous founding or startup experience or top-tier tech company experience..
    
- Fluency in SQL and Python
    
- Experience querying for SQL (MySQL, Snowflake) and NoSQL (MongoDB) data stores, Airflow or similar orchestration ETL tools
    
- You are familiar with statistical methods such as regression and Difference-in-differences. You should also be comfortable with marketing automation, PLG funnels, programmatic SEO and lifestyle messaging.
    
- You should be able to turn complex analyses into crisp narratives and be able to communicate well with leadership.
    
- Attention to detail and eagerness to learn
    

## **Compensation**

- Base cash comp from $130K-$250K
    
- Generous equity grant
    
- Performance bonus
    
- A $20K relocation bonus (if moving to the Bay Area)
    
- A $10K housing bonus (if you live within 0.5 miles of our office)
    
- A $1K monthly stipend for meals
    
- Free Equinox membership
    
- Health insurance

Hi {{first_name}},

Thank you for your interest in this position. Unfortunately, we are unable to move forward with your application at this time.

You can stay up to date with the latest opportunities on https://work.mercor.com. Or, to see the original listing, visit https://mercor.com/jobs/list_AAABltpTNMsyQ4ZlHf5ArobU.

Please feel free to reach out with any questions.

The Mercor Team

Growth Data Scientist

### **About the Role**

Mercor is building the future of hiring through AI — and our product is where that future comes to life. As our Product Designer, you’ll define and own the look, feel, and flow of the Mercor platform, helping us scale a product that is both beautifully simple and increasingly powerful.

You’ll sit at the intersection of product design, graphic design, and front-end execution. From crafting high-fidelity designs to driving UX across complex workflows, you’ll be responsible for shaping how users — from top-tier talent to internal operators — experience Mercor.

This is a rare opportunity to establish the foundation for how design lives at one of the fastest-growing companies in the world.

### **Key Responsibilities**

- Own the design of core user journeys across the product, from initial flows to polished UI
    
- Collaborate with engineering and product to implement new features and refine existing ones
    
- Drive design decisions through a balance of taste, data, and user empathy
    
- Bring clarity to complex user experiences as our product evolves and scales
    
- Create and maintain a clean, modern visual language inspired by tools like Notion and powered by elements like Tailwind
    
- Work closely with our Head of Design to articulate and evolve Mercor’s design philosophy & culture
    
- Help tutorialize the product experience — ensuring that users know what to do without needing to be told
    

### **Qualifications**

- 4–8+ years in product design, ideally at fast-moving startups or high-bar product teams
    
- Strong portfolio that demonstrates both visual polish and UX depth
    
- Experience working closely with engineers and understanding implementation constraints
    
- Comfort jumping into product discussions, prioritization, and pushing features across the finish line
    
- Proven ability to operate autonomously and define design processes in ambiguous environments
    
- Passion for building products that are intuitive, beautiful, and a joy to use
    
- Excitement to work directly with founders and influence company-wide product direction
    
- Bonus: Experience building internal tools, marketplaces, or AI-driven products
    

At Mercor, we recognize that exceptional ability comes in all forms, a core philosophy on which we built our platform. Because of this, we welcome candidates from diverse backgrounds with unique experiences and transferable skill sets, even if they don’t meet all the preferred qualifications listed above.

### **About Mercor**

Mercor is training models that predict how well someone will perform on a job better than a human can. Similar to how a human would review a resume, conduct an interview, and decide who to hire, we automate all of those processes with LLMs. Our technology is so effective it’s used by all of the top 5 AI labs.

We crossed a $450M revenue run rate and have averaged 59% month-over-month growth for the last 6 months, making us the fastest-growing company in the world. The team is small, and we remain extremely profitable because we can’t hire great people as fast as revenue is growing.

Hi {{first\_name}},

Thank you for your interest in this position. Unfortunately, we are unable to move forward with your application at this time.

You can stay up to date with the latest opportunities on [https://work.mercor.com](https://work.mercor.com). Or, to see the original listing, visit [https://mercor.com/jobs/list\_AAABlvpoMvOmTFHMBM9OULWV](https://mercor.com/jobs/list_AAABlvpoMvOmTFHMBM9OULWV).

Please feel free to reach out with any questions.

The Mercor Team

Jobs at Mercor