A growing number of gig workers in countries like Nigeria are finding a new income source: training humanoid robots by recording themselves performing everyday movements. Zeus, a medical student in central Nigeria, joins thousands of others recording hand gestures, body movements, and task demonstrations that feed machine learning models used to train physical robots. These workers strap smartphones to their foreheads and perform repetitive motions for hours, creating the dataset necessary for robots to learn human behavior. While the work provides supplementary income for workers in developing economies, the compensation remains minimal—often just a few dollars per session.