---
title: 'Mercor Research Fellowship — APEX at Mercor'
canonical: 'https://feeny.ai/job/mercor-research-fellowship-apex-mercor-san-francisco-gw8npvv5x928'
type: 'job'
last_seen: '2026-09-12'
---

# Mercor Research Fellowship — APEX at Mercor

- **Company:** Mercor
- **Location:** San Francisco, CA
- **Employment:** temporary
- **Work type:** remote
- **Posted:** 2026-08-22
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/mercor/a0a98be0-d856-4129-b500-c0a3e412ef01

## Job description

## About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.

Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.

## About the Fellowship

Mercor’s APEX benchmark family measures whether frontier AI models can actually do economically valuable work: multi-hour agentic tasks in investment banking and corporate law, real professional accounting workflows, real-world software engineering, and graduate-level science. Every APEX benchmark is built and validated with Mercor’s network of domain experts — not written from a textbook.

Alongside APEX, Mercor's economics team works to understand how AI is changing the labor market and tries to quantify its economic impacts. To do so, we leverage Mercor’s unique access to data, including: a marketplace with millions of candidates, internal AI usage metrics, enterprise data, and more.

The Mercor Research Fellowship funds people to build the next generation of benchmarks, evaluation techniques, and economic analyses of AI. You can pitch a benchmark or eval methodology you want to build — a new domain, a harder task format, a better way to measure agentic reliability — and if selected, you get the time, compute, expert labor, and mentorship to design, implement, and release it end to end. Or, on the economics side, you can pitch a study using Mercor’s proprietary data to better understand an aspect of AI’s impact on the economy and firms.

You’ll work directly with the APEX research team, get access to real enterprise evaluation problems from Mercor’s Fortune 500 and frontier-lab partners, and see your work shape how the industry measures AI capability.

Program Details

- Duration: 3–6 months, rolling admission
- Commitment: minimum 30 hours/week; full-time preferred
- Location: remote, or in-person at Mercor’s San Francisco office
- Admission: apply with a specific benchmark or eval technique you want to build — the fellowship is funded around your pitch, not a generic research rotation

## What You’ll Do

- Propose and scope a new benchmark evaluation technique, or economic study in an area not covered well by existing work
- Build and validate it. For benchmarks, that means designing task specifications and grading rubrics with Mercor's network of vetted experts — lawyers, accountants, engineers, scientists, consultants — then piloting tasks, calibrating scoring, and running frontier models to analyze where and why they fail. For economic studies, this can mean anything from designing and running field experiments with experts on our platform to conducting empirical analyses of enterprise data.
- Publish your results: a paper, an open dataset, a new leaderboard on APEX, or a methodology the team adopts internally — and partner with Mercor's research and engineering teams to fold what you learn back into our public work.

Focus Areas

- Long-horizon, multi-app agentic tasks in professional services (law, finance, consulting) — extending APEX-Agents
- Real-world software engineering evaluation beyond issue resolution — extending APEX-SWE
- Professional accounting and finance workflows — extending APEX-Accounting
- AI-for-Science evals: research-level mathematics, biology, materials science, and theoretical physics
- New economic benchmarks — negotiation, management, and other capabilities that carry economic value but resist standard task formats
- Novel evaluation methodology: contamination resistance, rubric design, human-vs-model grading agreement, cost-adjusted scoring
- The economics of human data platforms like Mercor – pricing, matching, elasticity of supply and demand.
- AI Theory of the Firm: what an AI-native firm looks like from the inside, and how work is actually organized within one, with a focus on empirical work.
- Strong pitches outside this list are welcome — we fund the best ideas, not the closest fit to a template.

## What We’re Looking For

- Genuine interest in evaluation as a research discipline — not just a stepping stone to a model-building role.
- Background in economics, CS, ML, statistics, or an adjacent field (measurement, psychometrics, HCI, social science)
- A specific, well-scoped idea for a benchmark, eval technique, or empirical study you want to build — the fellowship is built around your pitch.
- Comfortable in a startup environment: fast iteration, direct access to real customer problems, less hand-holding than an academic lab.
- Able to commit at least 30 hours/week for the duration of the fellowship — during a leave, over a summer, or a flexible stretch of a PhD.
- Bonus: experience with agentic evaluation, RL environments, or domain expertise in law, finance, medicine, or a scientific field.

## Compensation & Benefits

- 3-month stipend of $40,000 or 6-month stipend of $80,000
- Unlimited API credits, plus a dedicated budget for GPU compute and paid expert/human-data time
- Weekly 1:1 mentorship with a member of the APEX research team, plus regular access to the broader research org
- Access to Mercor's marketplace and expert-network data for empirical work, subject to review
- Access to frontier model APIs, Mercor’s internal evaluation infrastructure, and — where appropriate — real enterprise evaluation problems from Mercor’s customers
- Optional desk in Mercor’s San Francisco office for fellows who want to be in person
- Introductions to Mercor’s network of researchers across frontier labs and academia
- Standout fellows are considered for a full-time offer on the APEX research team at the end of the fellowship

## About Mercor

## Company Overview
- **One-liner**: Mercor organizes human intelligence to power the AI economy by connecting domain experts with frontier AI labs and enterprises for model training, evaluation, and deployment.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Francisco, California, USA (with offices in New York City and London)
- **Founded**: 2023
- **Founders**: Brendan Foody & Adarsh Hiremath (Co-founders & Co-CEOs)

## Core Business
- Primary industry: AI Data & Infrastructure, Human-in-the-Loop AI, Enterprise AI
- Target customers: Frontier AI labs (OpenAI, Anthropic, etc.), Fortune 500 enterprises deploying AI in production, and domain experts seeking high-value AI work
- Mission: Organizing human intelligence to power the AI economy — building the layer between human expertise and frontier models.

## Products & Services
- **Mercor Platform**: A global network of millions of domain experts across 300+ professional fields, paid over $3 million per day to train frontier AI models. Experts are found and vetted using dynamic, role-specific AI interviews.
- **APEX Benchmark**: A benchmark family that measures AI's real-world impact on professional work, setting a standard for whether AI can perform economically valuable work.
- **Mercor Enterprise**: Brings Mercor's expert network and evaluation infrastructure to Fortune 500 companies, deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.

## Market Standing
- **Valuation**: $10 billion valuation (as of Series C)
- **Key Metric**: Total Funding — $350 million Series C (recently raised); company is profitable
- **Notable Investors/Partners**: Not explicitly named in provided sources, but the company works with leading AI labs and Fortune 500 enterprises
- **Growth Signals**: 
  - Named to Bloomberg's "2026 24 AI Startups to Watch"
  - Forbes AI 50 (2025)
  - Forbes Cloud 100 (2025)
  - LinkedIn Top Startup (2025)
  - Described as "the fastest-growing company in the world"
  - Tens of thousands of skilled professionals earning an average of more than $95/hour on the platform

## Competitive Advantages
- **Massive, vetted expert network**: Millions of domain experts across 300+ fields, found and vetted via AI-driven interviews — a hard-to-replicate moat.
- **Direct frontier model exposure**: Every team works directly with frontier models, training them and building around them — most companies haven't imagined this level of integration.
- **Profitability at scale**: Profitable at Series C with a $10B valuation, indicating strong unit economics.
- **End-to-end AI infrastructure**: From expert sourcing and vetting to model evaluation (APEX) to enterprise deployment — a vertically integrated stack.

## Strategic Focus
- **Scaling the expert network**: Continuing to onboard millions of domain experts globally to meet the insatiable demand for high-quality human training data.
- **Enterprise AI deployment**: Expanding Mercor Enterprise to help Fortune 500 companies encode organizational knowledge into AI systems and deploy custom agents.
- **Benchmarking AI's economic impact**: Growing the APEX benchmark as the standard for measuring whether AI can perform economically valuable work.
- **Preparing for AGI**: The company's founding thesis is about answering what role humans will play in the economy as AGI approaches.

## Why Work Here
- **Culture**: "Built for people who thrive in high-velocity environments." Values include Intensity, Simplicity, User Obsession, High Standards, Can-Do Attitude, and Time Travelers (thinking ahead).
- **Work model**: In-person collaboration from offices in San Francisco, New York City, and London. No remote option — the company believes in-person collaboration helps move faster and solve harder problems.
- **Engineering culture**: Direct exposure to frontier AI research, labs, and startups. Every team works with frontier models daily. Described as "the fastest-growing company in the world."
- **Compensation**: Generous equity grants, competitive salaries (ranges from $100K–$500K depending on role), and a "proximity bonus" (generous annual housing support).
- **Benefits**: 
  - Unlimited paid vacation and sick days
  - Free Equinox membership (premium fitness access)
  - Monthly wellness stipend and free mental health services
  - Monthly food stipend
  - 401k with employer match
  - Parental leave for both birthing and non-birthing parents
- **Team**: "A team of ambitious, diverse people who want to work on what matters most." Open roles across Engineering (31 roles), Operations (15 roles), Enterprise (5 roles), Finance (4 roles), and more.

## Sources
1. [mercor.com](https://www.mercor.com/)
2. [mercor.com/careers](https://www.mercor.com/careers/)
3. [mercor.com/mission](https://www.mercor.com/mission/)
4. [jobs.ashbyhq.com/mercor](https://jobs.ashbyhq.com/mercor)
5. [linkedin.com/company/mercor-ai](https://www.linkedin.com/company/mercor-ai)

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