Get data annotation and real-world data collection at speed and global scale
Fulfill your data needs for every stage of the AI lifecycle.
Build data pipelines that power real-world performance
With over a decade of Uber’s experience leading large-scale AI data operations, we help your models train smarter, scale faster, and perform reliably under real-world pressure.
Partner with us across your entire data readiness lifecycle
Collect
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.
Annotate
We prepare ready-to-use and custom datasets supporting a range of AI use cases, including mapping and speech recognition, so your model learns from data that reflects the real world.
Evaluate
Every dataset goes through rigorous, human-automated, hybrid quality checks to ensure accuracy, diversity, and real-world reliability.
Deliver
The result is model-ready data, fast and at scale, backed by over a decade of ethical real-world data handling.
Gain efficiencies and scale with Uber’s global network
Our operational rigor powers a global workforce for field collection. We have the global infrastructure in place to handle the heavy lifting for you, including:
- Recruiting
- Vetting
- Onboarding
- Paying across regions, currencies, industries, and regulations
Solve complex data workflows using our platform
uCollect
Captures high-quality, multimodal data at scale using a global network of 10M+ contributors and specialized experts.
Frequently asked questions
What is data annotation?
Data annotation provides context and meaning to the data used to train generative and agentic AI models. We can help you label intricate multimodal data, from tone-specific text to detailed visual styles, to enrich generative AI models. This can support faster, more accurate model training for a broad range of applications.
What types of data annotation services does Uber AI Solutions offer?
Uber AI Solutions offer a broad range of data annotation services, including RLHF and preference labeling, prompt-and-response creation, model-output quality evaluation, VLM/VLA labeling for images and video, AV multi sensor linking, audio nuance annotation, and other multimodal text, image, video and audio annotation.
How can poor data quality break an AI model?
AI models are only as good as the data they are trained on . The impact of poor data quality can result in models that disrupt workflows and produce unreliable results. The cause of poor data quality can include fragmented or incomplete datasets, annotation errors, or missing context, which can cause a model to become unreliable—with potential ripple effects across brand reputation, finances, and compliance.
How does uLabel work?
uLabel is an innovative data-labeling platform built by Uber. It’s designed to support high quality annotation workflows at scale. This single-source solution offers a seamless environment with an advanced instruction panel for high-quality annotations and a highly configurable UI adaptable to any taxonomy and customer requirement.
With features crafted to enhance quality and efficiency, uLabel transitions the configurable UI from uTask (get more details below) to meet diverse needs, ensuring a user experience where excellence is standard. It supports auditability, quality workflows, consensus, edit review, and sampling workflows.
How does uTask work?
uTask is a configurable workflow orchestration UI, which adapts to your specific use case, ensuring real-time work orchestration that aligns with your operations. Benefit from intelligent matchmaking that pairs tasks and projects with skilled individuals, optimized by our programmatic data exchange and task upload capabilities.
Capabilities include:
- Automated configuration support for various workflows, such as edit review, sample review, and consensus models
- Programmatic data exchange and task uploads
- One-stop source for operations metrics
- Feedback loop
- Real-time analytics dashboards for governance
Let’s build better AI together
Tell us about your project. We'll show you the data that gets you there.
Let’s build better AI together
Tell us about your project. We'll show you the data that gets you there.
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