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About the Role
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. 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. Deeptune is an RL environments lab within Mercor that builds training gyms for AI agents: high-fidelity simulations where AI learns to perform real-world tasks through reinforcement learning. We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion. You'll also build direct partnerships with leading AI labs and enterprises, and contribute hands-on to improving frontier model quality through data, evaluation, and systems — work that sits squarely in the areas the field agrees matter most right now: RL with verifiable rewards, rubric-based reward modeling for subjective and agentic domains, and the pipelines that turn raw human demonstrations into training-ready environments. This role requires high ownership and abstraction: setting direction, driving outcomes, and staying hands-on while leading.
Responsibilities
- Build direct partnerships with leading AI labs and enterprises
- Contribute hands-on to improving frontier model quality through data, evaluation, and systems
- Set direction, drive outcomes, and stay hands-on while leading
Requirements
- Strong engineer across backend and infrastructure (Python, Go, TypeScript, etc.) with a deep interest in agentic AI
- Been a founding engineer, founded your own company, or had a major impact at a top-tier company
- Ready to join an early-stage team
- Motivated by ownership, impact, and building frontier tech
- Work is a craft you want to master
- Thrive in ambiguity and love hard problems
- Appreciate diverse perspectives and uncommon ideas
- 4 – 10 years in engineering
- 2–3+ years experience with scalable systems
- Strong background in building scalable systems
- Comfort with core ML/LLM concepts — post-training, evaluation metrics, reward modeling — deep enough to partner with researchers, not just consume their output
- Ability to lead in ambiguous, fast-moving environments with sound technical judgment
- Proven ability to coach engineers and drive execution
- Strong ownership mindset with pragmatic decision-making
Skills
- Python
- Go
- TypeScript
- Agentic AI
- Backend engineering
- Infrastructure engineering
- Scalable systems
- ML/LLM concepts
- Post-training
- Evaluation metrics
- Reward modeling
- Reinforcement learning (RL)
- Verifiable rewards
- Rubric-based reward modeling
- Subjective domains
- Agentic domains
- Pipelines
- Human demonstrations
- Training environments
Location
- San Francisco
- NYC
- London
- One World Trade
Work Type
- In-person five days a week
Experience Level
- 4 – 10 years in engineering
- 2–3+ years experience with scalable systems
Benefits
- $15K relocation bonus (for moving to the New York metropolitan area)
- $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
- 401(k) with company match
About the Company
- 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.
- Deeptune is an RL environments lab within Mercor that builds training gyms for AI agents: high-fidelity simulations where AI learns to perform real-world tasks through reinforcement learning.
- We work with the leading AI labs to help them train the next generation of agentic models, and our environments have already contributed to recent breakthroughs in computer use, code generation, and multi-step task completion.