Tech companies are quietly turning to gig workers to generate motion capture data for artificial intelligence training, according to industry sources and job postings reviewed by SourceRated. The practice, which involves workers performing repetitive physical movements recorded via smartphone cameras or wearable sensors, has become a growing niche in the crowdsourced labor market.
Analysts estimate the global motion data market for AI will reach $3.8 billion by 2027, driven by demand from gaming, robotics, and augmented reality developers. ‘We’re seeing platforms offer $15-$30 per hour for movement tasks ranging from basic gestures to complex athletic motions,’ said one labor researcher who requested anonymity due to ongoing studies.
Major AI firms have historically relied on professional mocap studios with specialized equipment. However, sources indicate the scalability of gig platforms allows collection of more diverse movement patterns at lower costs. A recent job listing from AI startup KinetiCorp sought ‘flexible performers for 200+ daily gesture repetitions’ with compensation tied to data quantity.
Labor advocates warn the trend could lead to exploitative conditions. ‘This is piecework 2.0 – workers bear all the physical risk while companies harvest proprietary data,’ said Marisol Gutierrez of the Gig Workers Collective. No major platform currently discloses how movement data trains commercial AI systems.
The development comes as the FTC investigates whether AI companies are improperly using biometric data. Legal experts suggest gig mocap work may fall into regulatory gray areas, with one attorney noting ‘current laws don’t clearly address whether a worker’s wave constitutes protected biometric information.’