Research Engineer, Environments

Mercor


Job Location:

San Francisco, CA - USA

Yearly Salary: USD 180000 - 500000
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About Mercor

Mercors mission is to organize human intelligence to power the AI economy. Were 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. Mercors APEX benchmark family measures AIs 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. Youll 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.

About the Role

Youll work with large enterprises to capture their data and transform it into high-fidelity RL environments for capability evaluations and training datasets for frontier labs. We focus on pushing the frontier of world-building verifier engineering and more alongside our partners.

Your goal will be to automate the process of building evals for real work in the economy.

What Youll Do

  • Ship models for workflow extraction classification and grading.

  • Engineer autonomous task refinement processes which distill data taste into pipelines.

  • Deliver data to customers and deploy into real engagements.

  • Help define the future of agentic transformation for enterprises around the world.

  • Deeply learn about the intricacies of enterprises through building evaluations for all aspects of work.

  • Build end-to-end environments for labs & enterprises by platformizing sandbox app clones load real data into the sandboxes build prompts from real workflows and write verifiers leveraging enterprise expertise & golden outputs.

  • Systematize the production of environments to scale throughput while maintaining high-quality worlds and verifiers.

What Were Looking For

  • Prior experience shipping environments youve contributed to an OSS framework built environments at previous companies or worked on agentic evaluations.

  • Strong full-stack engineering skills youll be responsible for everything from infrastructure to app code to analytics

  • Bias to action this team is focused on shipping evals not just philosophizing about them.

  • Curiosity being biased towards understanding and digging deep into model behavior and actually looking at the data.

  • Sweat the details that make a simulation indistinguishable from the real thing and have systems-level thinking skills that allow you to scale up quality.

Nice to Have

  • Experience with Temporal Modal or similar orchestration/compute services

  • Experience with synthetic data generation for frontier work auditing and scrutinizing industry-standard evaluations

Benefits

  • Semi-annual performance bonus structure

  • Generous equity grant vested over 4 years

  • Up to $15k Relocation bonus

  • $10K housing bonus (if you live within 0.5 miles of our office)

  • $1.5K monthly stipend for meals

  • Free Equinox membership

  • $200 monthly laundry reimbursement

  • $200 monthly personal wellness reimbursement

  • Health Dental Vision insurance


Required Experience:

IC

About MercorMercors mission is to organize human intelligence to power the AI economy. Were 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. Mercors APEX ...

About Company

Company Logo

Find top-tier, remote, AI roles for your expertise. Available only on Mercor.

View Profile View Profile