Uber Taps 1 Million+ US Drivers for AI Data Labeling, Entering Multi-Billion Dollar Market

Uber is rolling out a new program in the United States, offering its extensive network of over one million drivers and couriers the opportunity to earn additional income by completing "digital tasks" aimed at training artificial intelligence models. This initiative allows drivers to engage in short, minute-long assignments directly through the Uber app, even during downtime or while waiting for passengers. The move follows Uber's recent acquisition of Belgian data-labeling startup Segments.ai.

The digital tasks encompass a variety of activities crucial for AI development. As stated in a recent social media post, these include "data-labelling (for AI training), uploading restaurant menus, recording audio samples of themselves [and] narrating scenarios in different languages." These flexible assignments can be completed anytime, providing a new avenue for earnings without requiring active driving or delivery.

This strategic expansion leverages Uber's vast workforce to bolster its nascent data services business, Uber AI Solutions. In early October, Uber acquired Segments.ai, a specialist in multi-sensor data labeling for robotics and autonomous driving. This acquisition, for an undisclosed amount, significantly strengthens Uber's capabilities in providing high-quality data annotation for internal needs and external clients.

The data labeling market is experiencing substantial growth, with leading startups in the sector commanding high valuations. For instance, AI data-labeling firms like Scale AI and Surge AI have reportedly reached valuations of approximately $29 billion and are seeking funding at over $15 billion, respectively. This highlights the significant economic potential Uber aims to tap by integrating its driver network into this critical aspect of AI development.

Uber's Chief Product Officer, Sachin Kansal, indicated that the digital tasks are not a response to potential driver displacement by autonomous vehicles but rather a way to enhance earning opportunities and attract drivers to the platform. The program was first piloted in India, where drivers could complete tasks like image classification and text analysis. The US rollout underscores Uber's commitment to evolving its platform as a comprehensive solution for flexible work, allowing drivers to monetize their time beyond traditional ride-hailing and delivery services.