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Mercor is at the intersection of labor markets and AI research. 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 new San Francisco headquarters.
Job Responsibility:
Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems
Design/run A/B tests and quasi-experiments
turn results into product decisions the same week
Build source-of-truth dashboards and lightweight data models so teams can self-serve answers
Instrument events with engineers
improve data quality and latency from ingestion to insight
Prototype quick models (from baselines to gradient boosting) to improve matching and scoring
Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries
Requirements:
0–2 years in data science/analytics or similar
BS/BA in a quantitative field (or equivalent work)
Strong SQL
Python for analysis
comfort with experiment design and causal thinking
Communicates crisply with engineers, PMs, and leadership
turns analysis into action
Nice to have:
dbt
dashboarding (Hex/Mode/Looker)
marketplace or search/recommendation metrics
LLM/agent evaluation
What we offer:
Generous equity grant vested over 4 years
A $20K relocation bonus (if moving to the Bay Area)
A $10K housing bonus (if you live within 0.5 miles of our office)