Uber Expands AI Ambitions with Global Data-Labeling Platform

Meta’s $14.3 billion investment in a 49% stake of Scale AI prompted major clients like Google, OpenAI, and others to reportedly wind down their contracts with the company. In response, Uber intensified its push to capture enterprise data-labeling contracts through its AI Solutions platform.

Uber launched its data-labeling service in November 2024 under the name Scaled Solutions, hiring contractors in the United States, Canada, and India to annotate images, text, video. In 2025, Uber rebranded the service as Uber AI Solutions and expanded operations to 30 countries. It works with both internal AI projects and external clients, including Aurora Innovation and Niantic.

The platform connects enterprises with specialists in coding, finance, law, science, and linguistics for tasks such as annotation, translation, and editing. Uber introduced a ‘data foundry’ service that provides ready-to-use and custom-collected datasets containing audio, video, image and text content for training large AI models. 

Uber AI Solutions offers tools for training AI agents through task flows, annotations, and multilingual simulations. The platform includes AI-powered onboarding, quality checks, task breakdown, and feedback systems that Uber developed for its internal AI projects.

We do see an opportunity to build this into a meaningful business line for Uber,

said Megha Yethadka, General Manager, Uber AI Solutions.

Uber AI Solution

Uber has been developing AI and machine-learning technology for nearly ten years, using it to improve ride-hailing safety, arrival time estimates, and food delivery recommendations. 

The company's gig-based annotation model follows strategies used by established players like Scale AI, while offering clients faster scaling and integration with Uber's global platform.

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The data-labeling market has become increasingly important for AI development. Companies are concerned about working with providers connected to major technology competitors. Uber aims to use its size and operational experience to secure a leading position in the data supply chain.

Uber's global gig-worker network gives the company advantages in rapid contractor onboarding compared to smaller competitors seeking the same contracts.