AI's New BPO: Low-Paying Annotation Jobs Boom in India

ThePrint's ground report reveals that AI is creating lakhs of low-paying data annotation jobs in Gurugram and Noida, reminiscent of the BPO boom. Workers label images and videos to train AI models, earning Rs 10,000-17,000 per month under strict surveillance and tight deadlines. NASSCOM estimates the market serviced by India will exceed $7 billion by 2030, with potential for 1 million workers. However, the work is repetitive, low-skilled, and often lacks benefits, raising concerns about working conditions and long-term sustainability. Key signal: India accounts for about 36% of global image and video labelling services, with the AI data annotation market expected to exceed $7 billion by 2030. For hiring leaders, this matters because for CHROs and TA leaders, this signals a new talent segment emerging in India's AI ecosystem. While data annotation offers entry-level employment, the low pay and poor conditions could lead to high attrition and reputational risks for companies. Understanding this workforce is crucial for planning talent strategies, especially as AI training demand grows. The shift to Tier-II/III cities also opens new hiring geographies. Leaders should monitor this space for potential regulatory scrutiny and the need for upskilling pathways to transition workers to higher-value roles. Teksands view: This is the underbelly of the AI gold rush. While everyone's chasing GenAI engineers, a parallel workforce is being built on low wages and tight surveillance. It's a classic race to the bottom. For hiring leaders, the lesson is: if you're building AI, your data annotation strategy is a talent strategy. Invest in better pay, career paths, and humane conditions, or face attrition and brand damage. The BPO playbook didn't end well; don't repeat it.