Startups · AI

Mercor AI Research Fund Grants: Economics of AI

Mercor · San Francisco · On-site

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About Mercor

Mercor is organizing human intelligence to power the AI economy. We are powering frontier research, AI benchmarks, and AI agent training at scale for the top AI labs and enterprises. Backed by General Catalyst and Menlo.

About the role

Applications are grouped into three budget tiers. Please state your tier clearly in your application and ensure your overall budget ask falls within it: Research question and background (max 250 words): What are you trying to do? State your objective in plain language, with minimal jargon. How is this problem addressed today, and what are the limits of current practice? Who cares: if you succeed, what difference will it make, and to whom? Found on 1752vc Careers, the job board for startup and VC roles.

More about this 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. 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.

One of the biggest challenges facing the industry today is determining whether frontier AI is capable enough to deliver value in real-world settings. A model can perform well on benchmarks and still struggle in...

Read the full posting on Mercor's site ↗

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