Over 700 workers training Meta's artificial intelligence systems at an Irish contractor face potential job losses, according to internal documents reviewed by Reuters.
The affected employees work for Teleperformance, a contractor hired by Meta to help develop and refine the company's AI models. The layoffs would represent a significant reduction in Meta's AI training workforce in Ireland.
Workers described the situation as "undignified," citing concerns about job security and the nature of the work involved in training AI systems. The roles typically involve reviewing and labeling data to improve machine learning models—a labor-intensive process critical to developing competitive AI tools.
Meta has not officially commented on the planned reductions. Teleperformance also declined to provide specific details about the scope or timeline of the potential job cuts.
The move reflects broader cost-cutting measures across the tech industry. Meta has already implemented multiple rounds of layoffs since late 2022, when CEO Mark Zuckerberg announced plans to reduce the company's workforce by 13%. The company has also shifted focus toward efficiency and profitability amid changing market conditions.
AI training roles have become increasingly important as companies compete to develop and deploy large language models and other AI systems. However, these positions often offer lower wages and fewer benefits compared to software engineering roles at major tech firms. The potential layoffs highlight tensions between the growing demand for AI development and the human labor required to support it.
The news comes as Meta continues investing heavily in AI capabilities, including its open-source language models and generative AI features across its products. The apparent contradiction between expanding AI ambitions and reducing AI training staff underscores the complex economics of artificial intelligence development.
Ireland hosts significant operations for several major tech companies, making the country an important hub for contractor employment in the sector.
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