Handshake AI review: buying AI training data from a U.S. expert network
Answer in brief: Handshake AI is a buy-route pick for labs that want expert and generalist data from a large U.S.-based pool. Handshake says all eight of the largest frontier labs train with its datasets, that it has 30M+ experts in its network, and that it has 200+ in-house researchers and engineers. The catch: its fellowship only accepts U.S.-based workers, which limits language and regional coverage.
A careers network turned data engine. Handshake has a decade of enterprise SaaS behind it and a research team publishing at ICLR, NeurIPS and COLM.
Independent research, checked against Handshake's official site and dated press on 2026-11-09. We have not tested the service.
Where Handshake AI fits in the five routes
Buy: expert data on demand, RL environments, evals and post-training, plus agent builds for enterprises inside their own environment. It is not a dataset marketplace or a self-serve labeling tool.
Who it fits
- Frontier labs that need many U.S.-based experts quickly.
- Enterprises that want help training their own models or tuning agents.
Strengths
- Frontier-lab reach: Handshake claims 8 of the 8 largest frontier labs train with its datasets.
- Research depth: 200+ researchers and engineers working on data creation, RL environments, post-training and agentic grading.
- Momentum: Reuters quoted CEO Garrett Lord in June 2025 saying demand “tripled overnight” after the Meta–Scale deal. In April 2026 The Information reported nearly $1B in gross annualized AI-training revenue, citing people familiar with the finances.
- Worker pay: it reports $500M+ paid to fellows and posts hourly rates up front, up to $150/hr for some software roles.
Honest drawbacks
- Fellows must be based in the U.S. with valid work authorization.
- Network figures vary by page: 30M+ experts (enterprise page), 188k+ fellows (fellowship page), 25M knowledge workers (company page).
- Revenue figures are reported run rates, not audited, and include contractor payouts.
- No public pricing.
Pricing model
Custom quotes after a scoping session.
Best alternatives
- Mercor: a global network of credentialed professionals.
- Labelbox: Alignerr across 40+ countries and 75+ languages.
- Invisible Technologies: multilingual experts across 110+ languages.
FAQ
Who can work on Handshake AI projects?
The fellowship requires U.S. residence and valid work authorization that Handshake can support.
Do frontier labs use Handshake AI?
Handshake says all eight of the largest frontier labs train with its datasets. That is the company's claim.
How do I buy data from Handshake AI?
Book a scoping session through its enterprise page; pricing is quoted per engagement.
Sources
- Handshake Enterprise AI
- Handshake AI Fellowship
- Handshake About
- Reuters via Investing.com (2025-06-13)
- The Information (2026-04-13)
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