AI firms recruit thousands of gig workers to train robots with wearable cameras

A new class of gig work is emerging across more than 50 countries, where thousands of contract workers strap cameras to their foreheads and don motion-tracking gloves to record the most ordinary of human tasks — folding laundry, washing dishes, assembling parts — so that humanoid robots can learn to replicate them.

The trend, detailed in a Bloomberg newsletter published Thursday, represents what may be the latest frontier of the gig economy: one where the product is not code, content moderation, or food delivery, but raw footage of human hands in motion.bloomberg+1

A Growing Industry Built on Mundane Motion

Companies like Micro1, a Palo Alto-based robotics data firm, and Objectways, which operates collection centers in southern India, have built sprawling networks of workers who record themselves performing everyday physical tasks using wearable sensors and head-mounted cameras. Micro1 alone collects over 160,000 hours of video each month across thousands of unique environments in more than 75 countries, according to the company.cryptobriefing+3

The footage feeds directly into training pipelines for humanoid robots being developed by Tesla ↘ 0.74%, Figure AI, and Scale AI, among others. Robotics companies collectively spend more than $100 million annually on this type of real-world training data, a reflection of how difficult it remains to teach machines physical dexterity through simulation alone.inc+2

An MIT Technology Review investigation earlier this year profiled workers like Zeus, a medical student in Nigeria who earns $15 per hour filming himself making beds and cooking for Micro1. In India, the pay is far lower — roughly 250 rupees (about $2.60) per hour — where workers in regions like Tamil Nadu record household and factory tasks for Objectways.instagram+3

Privacy and Labor Concerns

The arrangement raises questions that echo earlier waves of AI data labeling outsourced to developing economies. Workers often do not know which companies will ultimately use their footage, how long it will be retained, or whether it could be repurposed beyond robotics training. Because the workplace is frequently the worker's own home, cameras inevitably capture family members, personal spaces, and other unintended details.cryptobriefing

The gig staffing platform Instawork has moved to formalize the practice, launching a wearable camera system called Instacore — five cameras mounted on the head, chest, and wrists connected to a compute backpack — designed for eight-hour shifts in commercial environments like kitchens and warehouses.instagram

A Global Race for Embodied AI Data

Over $6 billion flowed into humanoid robotics in 2025, fueling demand for the kind of real-world manipulation data that no internet scrape can provide. China has pursued similar efforts through VR headsets and exoskeletons, with Beijing's Humanoid Robot Data Training Center operating on a $30 million budget across more than 10,000 square meters. The scramble underscores a basic bottleneck: before robots can work alongside humans, they first need to watch them.scsp222.substack+1