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Scale AI faces lawsuit from data labelers wanting FTE status
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A new new labor dispute has arisen with data labeling workers challenging their classification as contractors rather than full-time employees.

Legal challenge emerges: Scale AI, a $14 billion AI data labeling company, faces a class action lawsuit from workers who claim they were misclassified as contractors and underpaid for their work training artificial intelligence models.

  • The lawsuit, filed by Clarkson Law Firm in California, could potentially involve between 10,000 and 20,000 workers
  • Lead plaintiff Steve McKinney alleges he was promised $25 per hour but sometimes received as little as $17 per hour
  • Workers claim they were required to perform unpaid tasks and were exposed to disturbing content while labeling data

California labor law implications: The lawsuit centers on alleged violations of California’s AB5 law, which establishes strict criteria for classifying workers as independent contractors.

  • The legal challenge argues Scale AI’s workers meet all three criteria under AB5 for classification as employees
  • Workers reportedly operated under direct company control while performing core business functions
  • Scale AI maintains significant contracts with major technology companies, making data labeling central to its business model

Industry-wide scrutiny: This lawsuit represents a broader pattern of legal challenges in the AI industry regarding labor practices.

  • Scale AI has previously faced accusations of underpaying workers in the Philippines
  • The Clarkson Law Firm has filed similar lawsuits against other prominent AI companies, including OpenAI and Google
  • Scale AI responded by stating it does not comment on litigation but remains committed to regulatory compliance

Worker conditions and compensation: The lawsuit highlights concerning practices in the AI training workforce.

  • Data labelers report being exposed to potentially traumatic content without adequate support or compensation
  • Workers claim they were required to complete training and other tasks without pay
  • The disparity between promised and actual wages raises questions about transparency in contractor compensation

Future implications for AI labor: This legal challenge could reshape how AI companies classify and compensate their essential data labeling workforce, potentially increasing operational costs and affecting the economics of AI development.

Lawsuit claims S.F. AI company underpaid and misclassified workers hired to train models

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