Contractors for Uber's AI Solutions business report earning between $50 and $150 per hour, significantly higher than previous roles. However, they face challenges with inconsistent work hours, chaotic scheduling, and sudden contract terminations without clear reasons, impacting their day-to-day experience.
This story highlights the potential downsides of the gig economy model extending into high-skilled white-collar work, where attractive pay may be offset by instability, lack of training, and unpredictable work schedules, impacting worker livelihoods and the broader adoption of AI training services.
Contractors working for Uber's AI Solutions business have reported high hourly pay rates, ranging from $50 to $150, which is significantly more than similar roles at other companies. However, these roles are characterized by chaotic scheduling and inconsistent work availability. Some contractors were onboarded months before receiving any assignments, while others experienced sudden terminations without explanation, despite contracts indicating a three-month duration. The work involves training AI for clients, including projects for Google, such as its AI search initiative. Uber's expansion into these white-collar gig roles aims to position it as a 'platform for work.' The contractors noted a lack of formal training or orientation, contrasting with previous experiences at other AI training firms. While the pay is attractive, the unpredictable nature of hours and job security presents significant challenges for these gig workers.