Mercor careers
Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it’s used by all of the top 5 AI labs. We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world.
Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can’t hire great people as quickly as revenue is growing. As reinforcement learning becomes the primary driver of AI model performance, research increasingly depends on compute and high-quality data. Mercor powers cutting-edge AI research by connecting domain experts—lawyers, doctors, engineers, and beyond—with top labs to generate the datasets that advance the frontier of artificial intelligence.
For example, to improve a model’s legal reasoning, Mercor might recruit thousands of lawyers to design evaluation sets that measure and refine model performance across different areas of law.
Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can’t hire great people as quickly as revenue is growing. As reinforcement learning becomes the primary driver of AI model performance, research increasingly depends on compute and high-quality data. Mercor powers cutting-edge AI research by connecting domain experts—lawyers, doctors, engineers, and beyond—with top labs to generate the datasets that advance the frontier of artificial intelligence.
For example, to improve a model’s legal reasoning, Mercor might recruit thousands of lawyers to design evaluation sets that measure and refine model performance across different areas of law.
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Neil R Anthony
Experienced data scientist, advanced quantitative microscopist, and biophysicist with a robust background in life sciences data.
Andrew Hare
An engineer who specializes in large-scale, containerized, distributed systems written in Go.
Enes Denizli
Fast learner, strong LLM-driven backend engineer focused on AI-assisted React/Spring development and optimization of systems (and life) one bug at a time.
Valuation
$2B
Funded over
3 rounds
Latest round
Series B (Feb 2025)
EnerKnol • New York • $100k – $180k • 0.01% – 0.05% • 3 days ago
TandemLaunch • Montreal • 5 days ago
Brightidea, Inc. • San Francisco • $150k – $300k • 7 days ago
Felicis Ventures • Menlo Park • $95k – $120k • 1 week ago
Rumble.com • Miami • $150k – $195k • 1 week ago



