$1.1B/year Indeed for data labelers
Jan-Erik Asplund
TL;DR: What started as a campus recruiting SaaS has fully inverted—Handshake's AI data labeling business now generates a Sacra-estimated ~$950M in gross annualized revenue while the legacy recruiting business has declined to ~$150M. Sacra estimates Handshake hit $1.1B in annualized gross revenue in April 2026, up 349% YoY from ~$245M in April 2025, with net revenue of ~$450M after contractor payouts. For more, check out our full report and dataset on Handshake.
We first covered Handshake in September 2025 at $280M in annualized revenue as it was just starting to use its 18M-student network of PhDs, graduates, and postdocs to compete with Mercor and Invisible for frontier lab spend on reasoning model training.
Key points from our April 2026 update via Sacra AI:
- Sacra estimates Handshake hit $1.1B in annualized gross revenue in April 2026, up 349% YoY from about $245M in April 2025, with net revenue coming out to ~$450M after adjusting for contractor payouts, which last raised at a $3.5B valuation in 2022.
- Compare Handshake with Mercor ($1B in annualized gross revenue, up 897% YoY, $10B valuation), Scale AI ($1.5B in annualized revenue, up 97% YoY, $29B implied valuation at the Meta acquisition) and Surge ($1.2B in revenue)—along with Turing ($300M in 2024, up 150% YoY, $2.2B valuation), micro1 ($300M annualized in April 2026, up 140% YoY, $500M valuation), Invisible ($134M in 2024, up 123% YoY, $2B valuation)—with 30-40% gross margins and valuations at ~30x multiples on annualized net revenue.
- Handshake's growth has been pulled forward by 1) Meta’s minority acquisition of Scale AI, which led to customers like OpenAI & Google cutting ties, and now 2) Mercor's March 2026 data breach, which led to Meta pausing its contract, two seismic events that reshuffled budgets & vendor relationships among the 8 foundation labs & hyperscalers that dominate spend.
- In a market where the service is commodity and switching costs are low, that created an opening for Handshake to pick up new customers & budget in a market growing its data labeling business 1,800% year-over-year even as its legacy campus recruiting SaaS business fell 15% YoY and shifting its revenue mix to 86% data labeling from 29% just 8 months prior.
- The key question for Handshake and other data labelers is whether they can graduate from marketplaces with minimally differentiated supply & no switching cost for either customers or contractors into a stickier layer of data infrastructure, with Handshake acquiring AI research lab Cleanlab in January 2026 to expand into evaluations & RL environments, a similar strategy to what we’ve seen from Mercor & Surge.
For more, check out this other research from our platform:
- Handshake (dataset)
- Handshake vs Mercor
- Invisible (dataset)
- Mercor (dataset)
- Scale AI (dataset)
- Joe Kim, CEO of Office Hours, on the end of crowdwork
- Jemma White, COO of Prolific, on why humans ensure AI safety
- LinkedIn for data labelers
- Invisible vs Mercor
- Scale at $760M ARR
- Scale: the $290M/year Mechanical Turk of machine learning
- Contractor Payroll: The $1.4T Market to Build the Cash App for the Global Labor Market
- Wingspan's 992x growth in contractor payroll
- Ved Sinha, Former VP of Product at Upwork, on gig marketplaces
- Samiur Rahman, CEO of Heyday, on building a production-grade AI stack
- Geoff Charles, VP of Product at Ramp, on Ramp's AI flywheel
- Mike Knoop, co-founder of Zapier, on Zapier's LLM-powered future
- OpenAI (dataset)
- Anthropic (dataset)
- Cursor (dataset)
