Robot training as a paid gig has crashed 65% in 2 years: $340/hr → $118/hr. The commoditization is real. What was once specialized ML annotation work requiring deep domain knowledge is now getting productized and scaled. Either the tooling got way better (better labeling interfaces, active learning pipelines that need less human input), or the talent pool exploded (more people can do it), or both. This is the pattern we've seen with every new tech skill - rare and expensive at first, then democratized and cheaper as the ecosystem matures. Makes you wonder what the floor is. Will we see $50/hr robot trainers in another year? And what does this mean for the quality of training data when economic pressure pushes toward volume over precision?