What Uber AI Solutions sells
In its own words, read on its own site 15 Oct 2026. On the vendor register
- What it sells
Expert and human data: “Tap into our global network of contributors and specialized experts to generate supervised fine-tuning (SFT) data and execute reinforcement learning and human feedback (RLHF) workflows.” uber.com
Annotation: “Data annotation provides context and meaning to the data used to train generative and agentic AI models.” uber.com
Datasets: “We prepare ready-to-use and custom datasets supporting a range of AI use cases” uber.com
Evaluations and benchmarks: “Orchestrate automated and human-led evaluation pipelines to benchmark model performance, diagnose edge case failures, and guide systematic model refinement.” uber.com
RL environments: “custom reinforced learning (RL) gyms built around your specific use case” uber.com
- Where its data comes from
Made by experts and contractors: “Tap into our global network of contributors and specialized experts to generate supervised fine-tuning (SFT) data and execute reinforcement learning and human feedback (RLHF) workflows.” uber.com
Recorded from people and the real world: “Our extensive global network of contributors and specialized experts gather real-world data, including point-of-interest (POI), audio, and video, through remote and targeted field tasks.” uber.com
- Buys data from owners
- Its pages do not say it does.
- Areas its pages name
- Business work, Robotics, Images and video, Speech and audio, Languages, Coding, Finance, Medical, Legal
Cite this
AIData.Broker, “Uber AI Solutions in the AI training data market”, reviewed 15 Oct 2026. https://aidata.markets/companies/uber-ai-solutions
Free to reuse under CC BY 4.0 if you credit AIData.Broker and link to this page. Each row names the publication that stated it, and words quoted from a source keep that source's own terms.