Why Medical AI Trainers Are Burning Out
Interviews with three doctors reveal that medical AI annotation and evaluation work is demanding, increasingly commoditized, and vulnerable to cost-cutting. While models show measurable improvements, practitioners remain concerned that increasingly capable systems could eventually replace parts of their own work.








