In China, a growing number of professionals—including lawyers, architects, and engineers—are taking on gig work to train artificial intelligence systems. These are not tech novices but highly trained experts who now find themselves underemployed in a sluggish economy. According to a report from Rest of World, they are being recruited to teach AI the precise details of their trades, often for modest pay.
The motivation is practical: many need the money just to keep up with mortgage payments. The situation is compounded by state directives that encourage workers to adapt to new economic realities, pushing even white-collar professionals into the gig economy. This marks a notable reversal—previously, such expert work was seen as stable and well-compensated, but now it is being commoditized for AI development.
The report highlights how economic pressure can reshape the labor market, turning specialized knowledge into a low-cost training resource. While the workers gain short-term relief, the long-term implications for their professions remain uncertain, as they are essentially helping to build systems that could eventually replace their own roles. The single source provides a clear picture of this trend, though it does not offer contrasting perspectives from workers or companies involved.