Indian companies are using head-mounted cameras on factory workers to record their hand movements as part of artificial intelligence training, according to an April 14 report. The footage is used by AI laboratories in the United States, including Meta-backed Scale AI, to teach robots how to perform routine tasks such as folding towels or stacking boxes.
This process is significant because it highlights both the rapid development of robotics and concerns about worker rights. The method raises questions about privacy, fair compensation, and the future role of human labor in manufacturing environments increasingly shaped by automation.
The practice involves teams at so-called “hand movement farms” producing hundreds of video clips daily. These clips are reviewed for accuracy before being sent abroad for use in neural network training. Workers receive modest pay—about $230 to $250 per month—and often find the work repetitive and physically demanding. Many employees are recent graduates or people changing careers.
Critics argue that this system exploits economic disparities between countries by creating wealth for technology firms while offering low wages to Indian workers. Supporters say these jobs provide valuable employment opportunities in a country with high youth unemployment rates. One social media user commented: “The lopsided balance of power between capital and [labor]: the workers have no ability to refuse to wear the cameras which are training systems which will eventually replace the workers themselves.”
The expansion of robotics has led some observers to call for greater attention to ethical issues such as data ownership and privacy rights for those involved in training AI systems. While artificial intelligence can help optimize clean energy systems and other sectors, concerns remain about its impact on traditional jobs and resource consumption.
As investments in robotics continue, discussions around regulation, worker protections, and responsible innovation are likely to intensify.
