Research Engineer, Real Environments
Mercor · San Francisco
CHECKED 47M AGO
Applied AIonsite$160k–$500k
At a glance
Highlights
- Transform enterprise data into high-fidelity RL environments for frontier labs.
- Automate the process of building evals for real work across the economy.
- Platformize sandbox app clones with real data, prompts, and verifiers.
What they offer
- Semi-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, and vision insurance
Ideal candidate
A builder obsessed with details who loves shipping real products, digging into data and model behavior, and turning messy enterprise workflows into high-quality simulations at scale.
Requirements
- Prior experience shipping environments, OSS frameworks, or agentic evaluations
- Strong full-stack engineering skills across infrastructure, app code, and analytics
- Bias to action with focus on shipping evals
- Curiosity about model behavior and digging deep into data
- Detail-oriented systems thinker who builds simulations indistinguishable from reality
- remote policy
- No remote - in-person five 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