Humanoid robot companies are increasingly relying on gig workers in developing nations to provide training data through motion capture and behavioral recordings. Zeus, a medical student in Nigeria, exemplifies this trend—he records himself performing movements on demand, using basic equipment like a ring light and forehead-mounted iPhone. This distributed workforce model allows AI companies to rapidly scale training datasets at lower costs than traditional employment arrangements. However, the practice exists in a regulatory vacuum, with workers often unclear about their legal status, data ownership rights, or long-term compensation structures.