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Mercor
San Francisco, California, United States
Source: Mercor careers · View original posting
From Mercor's posting. “We” and “our” refer to the employer.
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. We work in-person five days a week in our San Francisco, NYC, or London offices.
We’re looking for a Research Scientist to lead the design of the next generation of APEX benchmarks and the expert-built datasets behind them.
APEX is the AI Productivity Index: a family of benchmarks that measures whether frontier models can do economically valuable professional work. APEX-1 covers single-turn tasks across investment banking, corporate law, consulting and medicine. APEX-Agents tests multi-hour, cross-application agentic work in real tools. APEX-Accounting and APEX-SWE extend that into accounting and real-world software engineering.
Every task is written and graded by practicing experts on the Mercor platform, and the results are published as papers, open datasets, and public leaderboards that frontier labs watch.
This is a highly visible role at the intersection of research, company strategy, and go-to-market. You’ll decide what to measure next based on where frontier models are actually failing, design the benchmark and its scoring, work with academic and industry partners to build it, then partner with data operations, product and GTM to scale production. You’ll also be a credible technical voice externally — with labs, partners, prospects and the broader research community.
Mercor is still early on the research side. Much of the methodology, tooling and publishing practice we need does not exist yet. We’re looking for someone who wants to build it.
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