B1259 words1:37News Report British AccentPublished Jul 15, 2026 · Updated Jul 15, 2026

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In Chennai, southeastern India, a 25-year-old homemaker named Nagireddy Sriramiyachandra attaches a smartphone to her head every morning.

The camera captures her hands while she slices a mango, folds laundry, and washes dishes.

She earns about 250 rupees per hour of video, which is roughly four dollars.

This type of work has been called "data labor" because the camera data is used for robot training.

Thousands of Indian homemakers and factory workers have started filming their daily routines.

These first-person videos show how humans grasp objects, move their fingers, and complete tasks step by step.

The recordings become a kind of "behavior textbook" that teaches robots how to perform actions like slicing fruit or folding clothes.

Agence France-Presse reported that this trend is growing quickly across India.

This new form of data labor is different from the work that was done for language-based AI systems.

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Large language models like ChatGPT were trained on text that had already been organized and categorized.

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However, physical AI and humanoid robots need real-world movement data.

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Technology workers in the field of AI development say that robots must learn from actual human actions and sensory experiences.

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Automation experts believe that this kind of data collection will become more common in the future.

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Humans naturally adjust their grip when a cup starts to slip, and robots need to learn these small but important reactions.

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As a result, everyday activities performed by ordinary people have become valuable for AI development.

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The growing demand for camera data has created new job opportunities for workers in developing countries.

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Workers' Daily Tasks Train Robots via Camera Data

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