Reboot • 26 implied HN points • 11 Jan 26
- Expert data labelers produce the high-quality reasoning traces that power recent LLM advances, yet they work as precarious gig labor with opaque rules, unstable pay, and no real career path.
- AI companies capture huge value from this labor and then displace or sideline those workers as models learn to generate synthetic data, causing layoffs and downward pressure on wages.
- There are simple, practical protections that could help: portable credentials, transparency about how data is used, the ability for workers to communicate and appeal, and explicit credit or recognition for their contributions.