The Human Job Behind AI Training: Meet the Startup Paying Doctors and Lawyers to Grade Chatbots
August 21, 2026
Based on reporting by TechCrunch → — simplified & explained by VAIIYA.
Why AI companies need people like this
AI chatbots don't just learn on their own — they need to be trained and checked by real humans, especially for tricky, specialized knowledge. If you want a chatbot to give good medical or legal advice, someone with real expertise has to review its answers and point out mistakes. This work is often called "data labeling."
A startup called Micro1 makes money by hiring doctors, lawyers, scientists, and other experts on a contract basis to do exactly that: grading AI answers, helping build training material, and even recording videos of everyday tasks (like picking up objects) so that robots can learn from watching humans.
How fast it's growing
Micro1's yearly revenue pace jumped from around $100 million to $500 million in just eight months. After costs, the company actually keeps roughly 60–70% of that money. It's not the biggest player in this space — competitors Mercor and Handshake are bigger — but the fact that several companies can all grow quickly at once shows just how much demand there currently is for this kind of human-checked training data.
A notable stance from the founder
Micro1's founder says the company deliberately avoids selling its data to Chinese AI labs, framing it as avoiding help for a geopolitical rival. That's a contrast to some competitors in the same market who aren't as picky about their customer list.
The bigger picture
Some researchers now think that in the future, AI companies might end up spending as much money on this kind of human-generated training data as they spend on the computer hardware itself. If that turns out to be true, businesses like Micro1 could keep growing for a long while yet.