Research Engineer, Environments

Mercor; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Semi-annual bonus

Generous equity

Relocation bonus up to $15k

Housing stipend up to $10k

Meals stipend $1.5k monthly

Equinox membership

Laundry reimbursement

Wellness reimbursement

Health, Dental, Vision insurance

Job summary

Mercor seeks engineers to capture enterprise data and transform it into high-fidelity RL environments for evaluation and dataset training. You will automate the process of building evals for real work in the economy and push the frontier of world-building and verifier engineering.

You will collaborate with researchers, operators, and AI partners, contributing to scalable, high-quality simulated environments used by Fortune 500 companies.

Qualifications

• Experience shipping environments or contributing to OSS frameworks.
• Experience building environments at previous companies or working on agentic evaluations.
• Strong full-stack engineering skills spanning infrastructure to app code.

Responsibilities

• Ship models for workflow extraction, classification, and grading.
• Engineer autonomous task refinement processes to distill data into pipelines.
• Deliver data to customers and deploy into real engagements.
• Help define the future of agentic transformation for enterprises worldwide.
• Build end-to-end environments for labs and enterprises by platformizing sandbox apps and loading real data.

Skills

Full-stack engineering

OSS/environments

Systems thinking

Data/ RL environments

Tools

Temporal

Modal

Orchestration services

Job description

About Mercor

About MercorMercor's mission 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.

About the Role

You’ll 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 You\'ll 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 We're Looking For

• Prior experience shipping environments – you\'ve contributed to an OSS framework, built environments at previous companies, or worked on agentic evaluations.


• Strong full-stack engineering skills – you\'ll 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 models.


• Past 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

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