Mercor builds research team to measure AI on real work
Hiring experts including Edward J. Hu to advance APEX benchmarks and post-training methods for improving model capabilities.
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Human intelligence platform for AI research and enterprise deployment
mercor.comLast updated
In short: Mercor reached over $2 billion annualized revenue and discussed a $20 billion valuation amid expansion and security challenges.
Hiring experts including Edward J. Hu to advance APEX benchmarks and post-training methods for improving model capabilities.
Deeptune creates realistic training environments for reinforcement learning, and its team joins Mercor in NYC.
He spent eight years at Tesla, growing it to a $13B business, and now leads finance at Mercor.
The post details five key learnings on ledgers, manual processes, data, observability, and controls, plus shipped features and future builds. It invites engineers to join.
It's become a booming industry: teaching artificial intelligence how to get better at doing all kinds of jobs. As AI advances, many fear what this...
A new study by Mercor shows AI models are doing way better than humans in certain accounting jobs. AI models like Claude Opus 5 finished...
AI data provider Mercor posted $614 million in revenue in the first half of 2026, with 91% coming from foundation model companies, and its ...
Apollohas quietly taken an equity stake in the data‑annotation startup Mercor, and has also invested in the chip startup ...
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