An expanding segment of the artificial intelligence (AI) gig economy is showing signs of both opportunity and instability as companies increasingly rely on specialized human contributors for data annotation and quality assurance. However, workers providing this essential support face precarious conditions, according to recent reports and expert analysis.

Scale AI, a US-based company, operates Outlier, a digital platform that connects independent contractors with AI-related tasks. Contributors perform assessments of data quality to help train AI models, but some have encountered abrupt contract terminations without clear explanations. One contributor, who was removed from the platform after being told his work no longer met the company’s standards, said attempts to appeal the decision were ignored with finality, with no alternative work offered.

Scale AI classifies Outlier workers as independent contractors, which legally excludes them from certain protections such as advance notice of contract termination. The company was previously subject to a $12.5 million class action lawsuit in California alleging workforce misclassification. Scale AI settled the dispute without admitting liability but stated that contributors are regularly assessed and receive reasons for terminations.

Industry experts emphasize that the AI sector’s need for workers with specialized skills—including linguistic proficiency and cultural knowledge—is broadening as models become more sophisticated. Professor Mark Graham of the University of Oxford’s Internet Institute noted that this demand is opening avenues for recent graduates and professionals seeking supplementary income.

Historically, much of the AI workforce has been based in countries such as Kenya, India, and the Philippines, often compensated at very low rates. The shift toward engaging contributors in the UK and Europe signals a rising demand for experts, but also raises concerns about employment security. Graham highlighted that workers are generally engaged via digital platforms offering flexibility but little job security or bargaining power, with projects and income sources potentially disappearing as priorities change.

“The danger is that we’re reproducing the worst features of the gig economy in the AI supply chain,” Graham said, underscoring the uncertainty many workers face despite the growing prominence of AI-driven industries.

As AI companies continue to expand their reliance on human contributors for complex data analysis, the balance between flexible work opportunities and fair, stable employment conditions remains a crucial issue within the evolving digital economy.