Uber Expands AI Services Amid Meta Scale AI Shift

Coin WorldFriday, Jun 20, 2025 6:45 pm ET
2min read

Uber is expanding its AI services, launching Uber AI Solutions to offer its internal technology platforms to AI labs and enterprises. This move comes as some AI firms distance themselves from Scale AI following Meta’s $14.8 billion investment in the company. Uber AI Solutions, previously known as Uber Scaled Solutions, will provide access to ready-made datasets, clickworker task networks, and tools for training AI agents. The company aims to leverage its decade-long experience in handling massive data operations to help other organizations build smarter AI more quickly.

Uber AI Solutions is now active in more than 30 countries, connecting companies with a global pool of contractors who handle tasks such as translation, coding, editing, and dataset labeling. The platform includes tens of thousands of workers, including subject matter experts across STEM, law, and finance. The top taskers spend around three to four hours daily on the platform, with pay ranging from $20 to $200 per hour, depending on the complexity of the assignment. Uber is also developing a user-facing software interface to simplify project setup, allowing clients to describe their data needs in plain language, with the system automatically assigning tasks, setting workflows, and overseeing quality control.

Among the tools now available are services for creating datasets involving video, audio, images, and text. Uber is also offering companies access to the same back-end infrastructure it uses to manage its own AI training efforts. Clients already working with Uber AI Solutions include autonomous vehicle firm Aurora and Niantic, the maker of Pokémon Go, which recently shifted away from gaming to focus on enterprise AI. The company did not disclose its total clickworker count, but said the workforce has doubled since the start of the year.

Meta’s partnership with Scale AI has reshaped the client dynamics in the AI data labeling market, prompting clients to rethink their partnerships. Some, like OpenAI, have already cut ties with Scale. This has created an opportunity for smaller players like Mercor, Turing, and Invisible Technologies to fill the vacuum. However, Uber brings unique advantages such as scale and capital, with a massive global contractor network, logistics infrastructure, and experience managing gig work. Uber’s neutrality and commitment to data privacy may give it a shot at winning over companies spooked by Scale’s tighter integration with Meta.

Uber’s success in the AI data labeling market will depend on whether it can build and maintain a reliable network of high-skill clickworkers. With Big Tech expected to spend over $300 billion on AI in 2025, Uber’s shift into this space is a strategic move and a sign that the battle for AI dominance is expanding far beyond just algorithms. The company’s entry into the AI data labeling market comes at a time of opportunity, as the industry is scrambling to fill the vacuum left by Meta’s partnership with Scale AI. Whether Uber becomes the next major destination for AI data services remains to be seen, but its unique advantages and strategic move into the AI services space position it as a strong contender in the market.

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