Dr. Alice Chiao used to teach emergency medicine to students at Stanford University’s medical school. Now, she’s teaching artificial intelligence-powered chatbots to think, diagnose and prescribe like her.
Chiao is part of a booming new economy of professional experts in their fields who are training AI through a process called reinforcement learning, essentially grading AI’s responses and teaching models to improve through trial and error. It’s a rapidly growing service industry for AI frontier labs, estimated to be worth at least $17 billion, according to Pitchbook Senior AI Analyst, Dimitri Zabelin.
Chiao is one of tens of thousands of experts working with Mercor, one of the companies that help manage reinforcement learning for major AI companies. Mercor has contracts with experts in subjects ranging from medicine, law and finance to comedy, sports and even wine. Experts can earn up to hundreds of dollars per hour teaching AI to do their own jobs.
“AI is going to be the new Doctor Google, the new WebMD that people will go to, to seek out medical information. I knew that I needed to be a part of that to make sure that the information is accurate, that it’s safe, and that it makes sense to the per
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