Gig workers record egocentric video to train robot motor skills
ai startups are paying gig workers to record first-person videos of chores to supply the egocentric data needed to train humanoid robot motor skills.
data collection marketplaces are sourcing egocentric video from gig workers to train foundational models and robotics labs. companies require specific angles of hands performing tasks like pouring water to help machines master fine motor interaction. while demand is projected to reach hundreds of millions of hours, current pay rates are low, with workers in regions like india and malaysia contributing to datasets that train robots to eventually automate the very chores they film.