Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.
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 new San Francisco headquarters.
About the Role
We're looking for a product-oriented full-stack engineer with strong technical fundamentals and exceptional product taste. This role is ideal for someone who enjoys owning user-facing features end-to-end—from idea to production—while deeply understanding the business and marketplace dynamics behind what they're building.
You'll work on core marketplace surfaces that impact how engineers discover Mercor, apply to opportunities, complete assessments, and ultimately earn income. Success in this role requires good judgment, comfort operating in ambiguity, and the ability to ship high-quality experiences quickly without over-engineering.
This is not a narrowly scoped backend or frontend role. You'll regularly work across:
Frontend: React / Next.js, user flows, UX details, performance, and polish
Backend: Python and Go services, APIs, data models, and integrations
Data: MongoDB and SQL, metrics, funnel analysis, and operational correctness
At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following:
Talent platform side – building next-generation tools that automate recruiting end-to-end, intelligently match candidates to roles, and power global hiring with seamless contracts and payments.
Applied AI/human data side – partnering with top AI researchers from the AI labs like OpenAI, Anthropic, and Google to create post training datasets to improve foundational model capabilities.
What You’ll Do
Own product features end-to-end, from scoping and design partnership to implementation, launch, and iteration
Build and maintain frontend experiences in React / Next.js with strong UX judgment and attention to detail
Design and implement backend APIs and services in Python and Go that power marketplace workflows
Model and evolve data using MongoDB and SQL, balancing correctness, flexibility, and performance
Partner closely with Product and Design to make trade-offs between speed, quality, and long-term maintainability
Develop intuition for marketplace dynamics (supply, demand, incentives, trust, activation, drop-off) and reflect that in product decisions
Instrument features, analyze funnels, and iterate based on real user behavior
Raise the bar for code quality, system design, and product craftsmanship through reviews and collaboration
What We’re Looking For:
Product & Taste
Strong product intuition and UX sensibility—you care deeply about how things feel, not just whether they work
Ability to reason about user behavior, incentives, and marketplace dynamics
Comfort making product decisions when requirements are incomplete or evolving
Technical
Experience building full-stack web applications in production
Strong frontend experience with React / Next.js
Backend experience with Python and/or Go, including API design and service ownership
Familiarity with MongoDB and relational databases (SQL) and when to use each
Track record of shipping features end-to-end in fast-moving environments
Execution & Ownership
Bias toward action and ownership—you take responsibility for outcomes, not just tasks
Ability to balance speed with long-term quality and know when "good enough" is correct
Clear communicator who can align technical decisions with business goals
Nice to Have
Experience working on marketplaces, consumer products, or growth-oriented platforms
Strong intuition for onboarding, activation, and funnel optimization
Experience working closely with designers and PMs in highly iterative product cycles
Why Mercor
Impact: Your work powers how the world’s leading AI labs train and test their models.
Learning: Get early insights into frontier model capabilities months before the market.
Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership.
Benefits
Generous equity grant vested over 4 years
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1K monthly stipend for meals
Free Equinox membership
Health insurance
mercor