Doctors, lawyers, investment bankers, and journalists are increasingly taking on secondary roles as AI trainers. This raises a critical question: are they positioning themselves for success in an AI-driven future or jeopardizing their careers? Opinions differ widely on this issue.
Mercor, a gig economy platform, connects top-tier professionals with AI research labs such as OpenAI, Anthropic, and Meta. This platform boasts a pool of tens of thousands of skilled individuals. A Bloomberg report highlights that Mercor disburses over $2 million daily to its contractors. However, some workers have voiced concerns about an excessive level of monitoring and likened their experience to being "treated like cattle."
While some industry observers view AI training as an exciting new form of freelance work, others argue it represents a “scheme to misclassify workers.” The essence of gig work is independence, granting individuals the freedom to choose when and how to complete their tasks. Nonetheless, there are ongoing legal challenges surrounding Mercor's approach, which some claim mirrors the control typically seen in traditional employment settings.
Interestingly, the company's founders, all in their early twenties, have little experience in conventional corporate environments. The 22-year-old co-founders are part of the Thiel Fellowship, a program led by billionaire investor Peter Thiel, which awards $200,000 to young people opting to bypass or drop out of college. As a result, they have quickly ascended to becoming some of the youngest self-made billionaires in the world. According to Forbes, CEO Brendan Foody, CTO Adarsh Hiremath, and board chairman Surya Midha each hold an estimated 22% stake in the venture.
“It’s definitely surreal,” Foody remarked to Forbes. “It feels incredibly surreal. It surpasses anything we could have imagined just two years ago.”
Mercor has not yet replied to inquiries from Moneywise seeking further insight into their operations.
Moreover, who truly gains from AI training? Sundeep Peechu, managing partner at the venture capital firm Felicis Ventures, which has recently backed Mercor, shared his thoughts in the Bloomberg article. He pointed out that while the initial data era was driven by the internet, harnessing AI’s full economic potential requires human input to train models in the nuances of actual work practices.