MERCOR

Fullstack Engineer, RL Environments

MERCOR
US New York, NY, US
Onsite 2026-07-03
Announced salary
$130,000 - $500,000
Low
$111K
Median
$154K
High
$198K
Market in New York · BLS OEWS 2025
Estimated net pay
$7,770 - $25,565
/month · 28% withheld
after tax & contributions · Single, no dependents

Job description

**About Mercor** ---------------- Mercor's mission is to organize human intelligence to power the AI economy. 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 $3 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 San Francisco, NYC, or London offices. **About the Role** ------------------ Studio is one of Mercor's highest\-priority initiatives. It is the internal platform that powers every workflow our teams use to generate, manage, quality\-review, and deliver data to the world's leading AI labs — and its quality directly shapes the frontier models that billions of people interact with. As a Senior Fullstack Software Engineer on the Studio Experience team, you'll own the Studio user journeys end\-to\-end: the React frontend used daily by thousands of expert contributors and internal Strategic Project Leads, and the backend services powering data pipelines and delivery of outputs to customers. You'll also build and maintain the foundational layer that Mercor depends on to rapidly deploy new data types and task formats across the company. Four distinct stakeholders — AI labs, SPLs, expert contributors, and engineers— rely on what you build. This is a role for someone who cares equally about engineering craft and product impact: shipping scalable, reliable systems and intuitive interfaces that make ever

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