Data Science Intern
Mercor · San Francisco
CHECKED 10M AGO
Applied AIonsiteintern$83k–$104k
At a glance
Highlights
- Analyze data that powers ranking, hiring efficiency and revenue decisions.
- Prototype models improving how talent is matched to AI companies.
- Design experiments evaluating LLM-powered agents and ranking systems.
What they offer
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k relocation bonus
- $10K housing bonus if within 0.5 miles of office
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Ideal candidate
A curious, fast-moving quantitative student who loves turning data into product decisions and thrives in high-bar, in-person teams shaping frontier AI.
Requirements
- Pursuing degree in quantitative field, graduating 2026-2028
- Strong fundamentals in statistics, SQL, and Python
- Experience with experiment design, causal reasoning, and data analysis
- Clear communication with engineers, PMs, and leadership
- Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics
- Excited to work in person in fast-paced environment
- remote policy
- On-site 5 days a week
Lab profile
About Mercor
AI data company organizing human expertise to train frontier models for the AI economy.
What they build
- APEX benchmark family
- Mercor Enterprise
- Human expertise training data platform
Known for
- Massive domain-expert network
- Frontier model training infrastructure
- Real-world professional work evaluation
Key facts
- Millions of domain experts on platform
- Pays over $4M per day to experts