AI firms are hiring thousands of gig workers to train robots using wearable tech

Somewhere in Tamil Nadu, India, a contract worker is wearing a head-mounted camera while folding laundry. Not for a quirky YouTube channel. For a robotics company that needs to teach a humanoid machine how human hands actually work. AI companies are building an entirely new layer of the gig economy, one where the product isn’t code reviews or content moderation but raw footage of human beings doing ordinary things. Washing dishes. Assembling parts. Opening jars. The mundane choreography of daily life, captured frame by frame, is becoming one of the most sought-after training resources in robotics. The new data gold rush Companies like Micro1 and Objectways have recruited thousands of workers across more than 50 countries to record their hand movements and physical tasks using wearable cameras and motion sensors. The footage feeds directly into training pipelines for humanoid robots, giving machines the visual and spatial data they need to replicate complex manipulation tasks. Tesla, Figure AI, and Scale AI are among the firms purchasing these real-world datasets. Robotics companies collectively spend more than $100 million annually on this kind of training data, a figure that refle...