noyb files five GDPR complaints against Scale AI over Outlier worker surveillance
noyb, with Intérêt à Agir, DIPLab and Reversing.Works, filed five GDPR complaints against Scale AI in France, Italy, the Netherlands and Austria over its Outlier platform. The complaints concern invasive tracking of freelance AI training workers via third-party trackers, forced biometric identity verification through Persona, lack of a valid legal basis, violation of data minimisation, and unanswered access requests. noyb asks for a full investigation and an administrative fine.
Open original source noyb.euOne primary source; other links are context, not independent corroboration.
- Primary sourceX discovery · automated brief
- Discovery linkX
- Linked in sourceIntérêt à Agir
- Linked in sourceDIPLab
- Linked in sourceReversing.Works
- Linked in sourceComplaint in France
- Linked in sourceComplaint in Italy
- Linked in sourceComplaint in the Netherlands
- Linked in sourceComplaint in Austria #1
- Linked in sourceComplaint in Austria #2
- Linked in sourceReport by DiPLab on workplace surveillance by AI training platforms
- Linked in sourcemore than 40 million people
- Linked in sourcebiggest players in this field
- Linked in sourcebest-known customers
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- Original non-discussion link+5
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View full scoring →Read the scoring rubric →What the source says
noyb, with Intérêt à Agir, DIPLab and Reversing.Works, filed five GDPR complaints against Scale AI in France, Italy, the Netherlands and Austria over its Outlier platform. The complaints concern invasive tracking of freelance AI training workers via third-party trackers, forced biometric identity verification through Persona, lack of a valid legal basis, violation of data minimisation, and unanswered access requests. noyb asks for a full investigation and an administrative fine.
A READER'S EVIDENCE CHECKHow to read this signalSix questions about claims, sources, risks, and open checks
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- 01Who is making each claim?
The claimant and whether each claim was measured or asserted are not recorded in this public brief.
- 02What was actually tested?
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- 03Where are the sources?
Original link: noyb.eu. Brief basis: fetched source page. Primary page date and quote locations are not established in this panel.
- 04What could mislead?
Source claims not independently checked; the technical findings and allegations are complainants' claims and no regulator decision is reported.
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Key findings from the stored brief
- Trackers from TikTok, LinkedIn, Facebook, Sprig and Datadog were reportedly placed on workers' devices while on the platform.
- Trackers reportedly send personal data such as IP addresses and unique identifiers to third parties every few seconds.
- Workers are reportedly forced to repeatedly complete biometric verification involving face video and ID uploads via Persona.
- Scale AI reportedly did not respond to the complainants' GDPR access requests.
Source claims not independently checked; the technical findings and allegations are complainants' claims and no regulator decision is reported.
This is a source-based abstract, not independent validation of the source's claims.
Evidence & sources
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Privacy group noyb, with partners, filed five complaints in France, Italy, the Netherlands and Austria alleging Scale AI's Outlier platform, which uses 900,000+ freelance data workers training models for clients such as Meta, OpenAI and Google, collects excessive personal data and forces invasive biometric verification. These are allegations; regulators have not ruled.
Source claims not independently checked; the technical findings and allegations are complainants' claims and no regulator decision is reported.
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Why this may matter
The complaints test whether data protection law restricts workplace surveillance of platform workers who train AI systems. Outcomes could affect how AI data annotation platforms collect worker data across the EU.
Limits and open questions
Source claims not independently checked; the technical findings and allegations are complainants' claims and no regulator decision is reported.
Organization-specific financial, security, and operational effects require the organization's own context and review.
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