Mercor

Mercor

Member of Technical Staff, Enterprise Evals Platform

San Francisco · Staff+

Sponsorship not specifiedDetected 63 days ago
Platform EngineeringLLMsStatisticsElectrical EngineeringResearch

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Enterprise agents are complex systems, and they only pay off when their work is reliable and economically viable.
  • Evaluation is how you get both: checking correctness is the obvious case, and routing is the subtler one, since choosing a model against cost, latency, and quality requires quality to be measurable at all.
  • Knowing where the bar sits is the hard part.

Responsibilities

  • Build verifiers over agent trajectories and outputs, calibrated and hard to game.
  • Build the eval platform that runs offline environments, task suites, and grading at scale.
  • Own the rollout gates that decide whether an agent change ships.

Requirements

  • Professional, academic, or research experience in agent engineering and evaluation, including how agent runtimes and harnesses produce a trajectory and where it fails.
  • Bachelor's Degree in Computer Science or a related technical degree such as Electrical Engineering, Physics, Mathematics, Computer Engineering, Information Systems or Statistics
  • 1-5 years in industry level software engineering

Nice to have

  • Strong software engineering fundamentals, and the ability to work independently on ambiguous, loosely specified problems.

Benefits

  • Up to $15k relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Generous equity grant vested over 4 years
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance

Company info

  • Mercor's mission is to organize human intelligence to power the AI economy.
  • We're a leading AI data company, building the layer between human expertise and frontier models.
  • Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models.
  • Mercor's APEX benchmark family measures AI's real-world impact on professional work.
  • Mercor Enterprise brings this same infrastructure to Fortune 500 companies:
  • helping companies capture how their best people actually work, translating that expertise directly back into agents.
  • 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.
  • Partner with the Enterprise Platform team and the Applied AI engineers embedded with customers.

This listing is sourced directly from Mercor's careers page and normalized into a canonical job model.