24 August 2026
AI training work dries up for human data labelers globally
First reported
The Neuron ran this on .
- Data labelers in China and Australia report receiving fewer job assignments as AI models become more capable and require less human training data.
- Many labelers do not know the identities of the companies employing them, limiting their ability to negotiate or seek recourse.
- Workers have minimal options to challenge performance evaluations that determine their continued employment and pay.
How it was covered
The NeuronPete Huang & Grant Harvey
An investigation into data labelers who train AI models found that workers in China and Australia receive less work over time as AI improves, often do not know which companies they work for, and have limited ability to appeal performance grading decisions.