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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.
Insights by Ground AI
8 Articles
8 Articles
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Coverage Details
Total News Sources8
Leaning Left1Leaning Right0Center3Last UpdatedBias Distribution75% Center
Bias Distribution
- 75% of the sources are Center
75% Center
L 25%
C 75%
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