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Thousands of Gig Workers Film Household Chores to Train Humanoid Robots
Hundreds of workers earn about $80 for two hours of footage as companies buy real-world chore videos to train physical AI systems.
On March 19, 2026, DoorDash launched DoorDash Tasks, an app paying 8 million US-based Dashers to record daily chores, joining a global trend spanning more than 50 countries where gig workers film household activities to train humanoid robots.
Investors poured over $6 billion into humanoid robotics during 2025, fueling urgent demand for real-world training data because physical robots require contact-rich demonstrations of human motion and grip strength to operate in unpredictable home environments.
Startups like Sunain recruit thousands of contributors earning about $80 for two hours of video; Azzam Ahmed, a participant, said "We are making money off something that we do every single day. That's like getting paid for breathing."
This gig-to-robotics pipeline creates a paradox: workers train autonomous systems to perform repetitive tasks—such as folding and packing—that currently employ millions, while the industry simultaneously establishes new roles in data quality assurance and AI training oversight.
Analysts project humanoid robot installations will surge to over 100,000 cumulative units by 2027 as production ramps up at Tesla and AgiBot, signaling a fundamental shift toward automating repetitive physical roles across global labor markets.