Tech Stack
Responsibilities
- Design the next generation of APEX benchmarks, owning task taxonomy, difficulty calibration, contamination controls, and statistical design.
- Create expert-built datasets and grading rubrics at scale, establishing standards for reporting results and failure analysis.
- Work with academic and industry partners to co-design benchmarks and drive their widespread adoption.
- Publish findings through papers, open datasets, and blog posts, representing Mercor's research in the community.
- Collaborate cross-functionally with data operations, engineering, product, and strategy to take benchmarks from design to production.
Benefits
- 401k
- Equity
- Gym Membership
- Health Insurance
Culture
Fast-PacedCross-Functional Teams
Requirements
Required: Strong applied or academic research background in LLM evaluation, NLP or a related field
Preferred: Ph.D. in Machine Learning, NLP or a related field
Regions: Us
Get jobs like this in your inbox
Weekly Next.js, TypeScript hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get job market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About mercor
Industry: saas
Size: small
Mercor is a leading AI data company valued at $10 billion, building the layer between human expertise and frontier models to organize human intelligence for the AI economy.
View company profile →Compensation
Base salary: $15,000 USD
Equity: Generous equity grant vested over 4 years
Bonus: Bi-annual performance bonus structure
Sign-on: Up to $15k Relocation bonus, $10K housing bonus