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About the Role
The Mercor Research Fellowship funds individuals to build the next generation of AI benchmarks and evaluation techniques. Fellows will pitch a benchmark or evaluation methodology they want to build, and if selected, will receive the resources and mentorship to design, implement, and release it. This role offers direct collaboration with the APEX research team and exposure to real enterprise evaluation problems, shaping how the industry measures AI capability.
Responsibilities
- Propose and scope a new benchmark or evaluation technique.
- Design task specifications and grading rubrics in partnership with domain experts.
- Build and validate the benchmark, including piloting tasks and calibrating scoring.
- Run frontier models against the benchmark and analyze their performance.
- Publish results as a paper, open dataset, or leaderboard.
- Partner with research and engineering teams to integrate learnings into APEX's public benchmark family.
Requirements
- Genuine interest in evaluation as a research discipline.
- Background in CS, ML, statistics, or an adjacent field.
- A specific, well-scoped idea for a benchmark or eval technique.
- Comfortable in a startup environment with fast iteration and direct customer access.
- Able to commit at least 20 hours/week for the duration of the fellowship.
Skills
- Agentic evaluation
- RL environments
- Domain expertise in law, finance, medicine, or scientific fields
Location
- Remote
- San Francisco
Work Type
- Fellowship
- Minimum 30 hours/week
- Full-time preferred
Experience Level
- Fellowship
Education Level
- Background in CS, ML, statistics, or an adjacent field
Salary/Compensations
- $40,000 stipend for 3 months
- $80,000 stipend for 6 months
Benefits
- Unlimited API credits
- Dedicated budget for GPU compute
- Paid expert/human-data time
- Weekly 1:1 mentorship with APEX research team
- Regular access to the broader research organization
- Access to frontier model APIs
- Access to Mercor’s internal evaluation infrastructure
- Access to real enterprise evaluation problems
- Optional desk in Mercor’s San Francisco office
- Introductions to Mercor’s network of researchers
- Consideration for a full-time offer upon completion
About the Company
- Mercor is a leading AI data company organizing human intelligence to power the AI economy.
- They build the layer between human expertise and frontier models.
- Millions of domain experts are paid daily to train AI models on the platform.
- Mercor's APEX benchmark family measures AI's real-world impact on professional work.
- Mercor Enterprise brings this infrastructure to Fortune 500 companies to capture and translate expertise into agents.
- Mercor is creating a new category of work where expertise powers AI advancement.
- They are a profitable Series C company valued at $10 billion.
- They operate in-person five days a week in San Francisco, NYC, or London offices.