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Sweatshop data is over | Mechanize Inc.

mechanize.work · 887 words · saved by 5 readers

Cheap contractor-labeled data is no longer enough. Future AI progress depends on RL environments built by full-time domain experts.

Tamay Besiroglu, Matthew Barnett, Ege Erdil July 10, 2025 High-quality data is the fuel that drives AI progress, but our approach to AI data needs rethinking. In the past, it was usually sufficient to hire third-party contractors to create datasets for basic text, visual, and audio tasks. This typically involved monotonous, narrowly-scoped labeling and generation tasks performed en masse by low-skill workers, often paid just a few dollars per hour. This “sweatshop data” enabled friendly chatbots, art generators, speech-to-text software, and so on. Back then, sweatshop data was enough…

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