India’s growing role in artificial intelligence data training is drawing attention to both new employment opportunities and widening global wage disparities, raising concerns over long-term job quality and workforce security in the evolving AI economy.
Across cities such as Chennai, workers are increasingly being recruited for AI data generation tasks that involve recording everyday activities, performing household chores and producing visual datasets used to train machine learning systems.
In one instance, a 25-year-old homemaker from Chennai earns around Rs 250 per hour by filming herself performing routine household tasks for an AI data company. The footage is used to help artificial intelligence systems understand human movement and replicate real-world actions. This form of work falls under “egocentric data”, where activities are captured from a first-person perspective to support robotics and AI model training.
The global AI training industry has highlighted a significant wage divide. Reports indicate that while workers in India may earn around Rs 250 per hour for such tasks, similar roles in the United States—particularly those linked to robotics training—can reportedly pay up to Rs 4,000 per hour.
This disparity has intensified discussions on India’s position within the global AI supply chain, where the country plays a major role in delivering large-scale, low-cost data for machine learning systems.
India’s large informal workforce, combined with its established outsourcing ecosystem, has made it a preferred hub for companies seeking cost-efficient data generation.
Industry observers note that this segment represents a largely invisible but essential layer of the global AI value chain, where human behaviour is converted into structured datasets that power automation, robotics and generative AI systems.
However, labour experts caution that most of these roles remain gig-based or contract-driven, offering limited job security and restricted career progression.
As artificial intelligence systems improve in understanding human behaviour, experts warn that demand for repetitive physical and digital tasks could decline over time, potentially affecting a large number of entry-level workers.
At the same time, supporters of the sector argue that AI data work is creating new employment opportunities for semi-skilled and informal workers who were previously outside the formal tech economy, acting as a transition into the digital workforce.
Beyond structured data projects, homemakers and informal workers are increasingly contributing by wearing cameras and recording daily tasks such as cooking, cleaning and making flower garlands.
A 55-year-old flower garland maker from Bengaluru, who has participated in such data collection efforts, expressed concern about the future of similar livelihoods for the next generation if such work opportunities diminish.
These activities highlight a growing trend in which ordinary daily routines are being converted into datasets that support the development of future robotics and AI systems.
As global artificial intelligence adoption accelerates, India’s role is becoming increasingly dual in nature—serving as a major supplier of training data while also facing ongoing challenges related to fair wages, skill development and job quality.
Experts suggest that the key challenge ahead is not only participation in the global AI ecosystem but ensuring that workers move toward higher-value roles rather than remaining concentrated in the lowest-paid segments of the industry.