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AI data labeling is the fastest-growing contractor segment in the US.
Annual market growth
Scale AI alone relies on over 30,000 global contractors for training data.
Active AI contractors
New annotators complete W-9s, identity verification, and NDAs in a single session.
Onboarding time
Annotators earning $15-25/hour and expert RLHF evaluators earning $35-75/hour both have the same expectation: get paid on time. On legacy payment platforms, contributors wait 30 to 90 days.
With Wingspan, approved payments hit contractor wallets the same day. Faster payment directly reduces churn in a workforce that can switch platforms overnight.


New labeling projects launch fast. Wingspan collects W-9s, identity verification, signed contractor agreements, and role-specific qualification attestations in one flow.
Contributors finish from their phone in minutes. For expert pools — coders, scientists, lawyers providing RLHF feedback — Wingspan adds credential-specific requirements: NDA collection, portfolio review prompts, and copyright assignment agreements alongside tax documentation.
Scale AI, Appen, and other labeling platforms have faced class-action lawsuits and Department of Labor scrutiny over contractor classification. Wingspan creates the documented evidence that protects you: signed contractor agreements, verified business identities, collected W-9/W-8BEN forms, and a timestamped audit trail for every engagement.
Wayfinder AI verifies tax documents and identity automatically. For a managed AI services company onboarding 500 contributors, compliance is done before the first task is assigned.


AI training data is proprietary. Yet most labeling platforms treat contractor onboarding as a payments problem, not a data security problem.
Wingspan embeds NDA collection and confidentiality agreements directly into the onboarding flow. Contributors cannot access task assignments until signed agreements are verified.
