Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
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 Role
Mercor is building benchmarks and evaluation systems that help measure and improve frontier AI models. As a Research Program Manager, you will play a central role in coordinating the development, release, and communication of these benchmarks. You’ll work across research, operations, and marketing to ensure evaluations are executed rigorously, results are shared with the broader AI community, and new benchmarks launch smoothly. This is a hands-on role that requires strong attention to detail, high-intensity problem-solving, and a passion for building scalable processes that support cutting-edge AI research.
Core Responsibilities
As a research program manager, you will:
Coordinate the release of new benchmarks
Maintain and update Mercor’s leaderboards and website
Submit results to leaderboards, competitions and community pages (e.g., Hugging Face)
Run and monitor new evals
Support with marketing for benchmarks and evals, including new blogs and socials
Develop the messaging for new benchmark releases
Coordinate delivery of eval reports
Build relationships in the AI evals + data ecosystem
What We’re Looking For
Experience: Background in consulting, tech, project management or research support, ideally 2-3 years of professional experience.
Skills: Strong analytical and communication abilities; proven track record of managing complex projects.
Mindset: Excited by “gritty” process optimization and large-scale execution.
Compensation
Base cash comp from $120K-$200k
Aggressive performance bonus structure
Competitive equity grant
$15K relocation bonus (for moving to the Bay Area)
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Free Equinox membership
Health, Dental, Vision insurance401(k) with company match
Skills Required
- Background in consulting, tech, project management or research support
- 2-3 years of professional experience
- Strong analytical and communication abilities
- Proven track record of managing complex projects
Mercor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mercor and has not been reviewed or approved by Mercor.
-
Fair & Transparent Compensation — Pay is considered competitive across many roles, with clear hourly ranges and an hourly/pay‑per‑task mix designed to align rates with expertise. The structure emphasizes transparent, appropriate pay levels and guarantees payment for legitimate logged time.
-
Strong & Reliable Incentives — Payments are processed on a predictable weekly cadence via Stripe/Wise, and some tracks offer additional weekly bonus incentives for top performers. This combination of regular payouts and performance bonuses supports dependable earnings when projects are active.
-
Equity Value & Accessibility — Select full‑time roles include generous equity grants alongside cash perks such as relocation and housing bonuses. These elements increase total compensation for those positions.
Mercor Insights
What We Do
We use AI to understand human ability and match talent with the opportunities they're best suited for.









