High pay, chaotic scheduling: What it's like working for Uber's AI training arm (www.businessinsider.com)

Uber is expanding its gig-work model into white-collar roles, specifically in AI training, by recruiting contractors, often with PhDs, to work on projects for high-profile clients like Google. This move is significant as it demonstrates Uber’s ambition to become a "platform for work," leveraging flexible gig arrangements in a competitive field alongside companies that specialize in AI training. Contractors report earnings between $50 and $150 per hour, substantially higher than similar positions elsewhere, indicating that Uber is vying for talent in a lucrative market. However, the work environment is characterized by chaotic scheduling and a lack of formal training, leaving many contractors frustrated. They are required to work flexible hours with a substantial portion concentrated during standard business hours, but weekly allocations of hours can vary dramatically, leading to unpredictability in workloads. Furthermore, a notable absence of orientation or training contrasts sharply with experiences at other companies, leaving contractors to adapt quickly without guidance. This chaotic approach, coupled with sudden contract terminations and shifting job responsibilities, raises concerns about job stability and satisfaction within Uber's AI training operations.