The latest chapter in AI development's complex relationship with global labor markets involves an unlikely workforce: gig workers in developing nations training humanoid robots through motion capture performed in home studios. Medical student Zeus in Nigeria exemplifies this trend, using a ring light and iPhone strapped to his forehead to record hand movements for robotics companies. This emerging practice reveals how AI companies are outsourcing critical training data collection to workers in countries with lower labor costs, much like previous waves of tech outsourcing. The work itself is highly repetitive and physically demanding, raising immediate questions about worker protections, fair compensation, and workplace safety standards that may not be adequately addressed in current gig economy frameworks.