Mercor jobs, judged for you, free

What they do

Mercor is an AI data company. Its mission is to organize human intelligence to power the AI economy. Millions of experts are paid on its platform to train frontier AI models, the most advanced ones. Its APEX benchmarks test how well AI does real professional work. Mercor Enterprise brings this to large companies. Mercor is a profitable Series C company.

What they value

• Can-do attitude: take on ambitious problems with conviction.
• User obsession: put users first in every decision.
• High standards: keep excellence in all work.
• Intensity: bring focus and urgency every day.
• Simplicity: find simple solutions to complex problems.
• Time travelers: plan for future needs while you execute today.

Where they hire

Nearly every role is on site, five days a week. Most Postings are in San Francisco, some at the head office on Fremont Street, and 11 are in New York City. A few are in London and Mexico City. One research grant is remote. Postings offer relocation and housing bonuses. No Posting mentions visa sponsorship.

Teams and roles

Engineering is more than half of the 114 Postings.

• Engineering: backend, platform, infrastructure, data, payments, identity, search, and mobile engineers. Teams include Applied AI, Agents, Frontier Data Products, Marketplace, and Robotics.
• Research: research engineers and scientists for benchmarks, APEX, training environments, and post-training (further training of a model after its first training), plus AI research and safety grants.
• Enterprise Agents: enterprise AI leads and associates, and applied AI engineers.
• Deeptune: a lab within Mercor that builds training environments, which are simulations where AI agents learn real-world tasks by trial and reward. It hires a strategic projects lead, an environments engineer, and recruiters.
• Operations: strategic project leads who run large data projects for AI labs, program managers, founding account executives, and delivery operations.
• Sales and growth: a healthcare sales lead, client services leads for healthcare and finance, growth associates, and marketing.
• Security, finance, talent, recruiting, people, and IT roles, plus data science and software engineering interns.

What they look for

Many Postings ask for high ownership, and some for an intense, in-person pace. Senior backend engineers need 8 or more years, with distributed systems and API design, and fluency with AI coding tools such as Cursor or Claude Code. Research engineers want model evaluation and benchmark work, and top papers are a plus. Product managers need 2 or more years, and past work in software, ML, or data science is preferred. Data scientists need strong SQL and Python. Strategic project leads come from consulting, finance, or startups and work directly with researchers at AI labs.