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Interested in Gen AI use cases?

Our robust data labelling, advanced testing frameworks, global scale in creating high-quality, reliable models & end-to-end solutions that drive innovation, streamline operations, and speed up time to market.

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Generative AI & LLM labelling

Enterprises trust Uber's AI Solutions to annotate, curate, test, and localise high-quality datasets for robust, scalable Generative AI and large language models.

Scaled Solutions

9+ years

Expertise in managing large-scale AI and ML operations

Localisation

100+ languages

Including languages in Asia, Europe, Latin America, the Middle East, and more

Data annotation

25+ features

Chat or text summarisation

Consensus labelling

Data collection: audio/video/image

Open-ended text descriptions to image/video/anime

Preference rating for multiple responses

Prompt response evaluation/ranking

Side-by-side review and rating/edits

Synthetic data creation

Generative AI

10+ areas of expertise

Auto

Entertainment

Finance

Gaming

Language

Programming

Reasoning

Science

Sport

TV and movies

Product testing

Custom AI and ML frameworks for your product

  • Define use cases and behaviour
  • Ensure readiness through collateral development
  • Validate coverage of test cases
  • Evaluate model learning capability
  • Evaluate response speed, error rate, and time to load responses
  • Monitor memory, network usage, and configuration
  • Develop A/B testing to validate fluency, contextual awareness, and relevance
  • Test decision linearity for response coherence
  • Validate accessibility, UI/UX, user engagement, linguistic accuracy, and much more
  • Benchmark against other AI/ML products

Use cases

Synthetic data creation

Creating Q&A pairs from scratch across a wide range of topics (like travel and food) or for specific specialised categories (such as programming and finance) and in 100+ languages worldwide.

Open-ended text descriptions to image/video/anime

Supplying text summaries using visual aids for gen AI start-ups that create images, videos, or anime from text prompts, or the other way around.

Data collection: audio/video/image

Different activities, different voices, different acoustic conditions, different regions and genders, and more.

Preference rating for multiple responses

Preference for rating/ranking multiple responses to the same prompt (LLMs or text-to-image/video models)

Consensus labelling

Classification or rating carried out across multiple diverse groups (such as regions and genders) to reach a consensus score and remove bias.

Chat or text summarisation

Providing a summary and/or assessing model output on summarisation.

Side-by-side review and rating/edits

Compare several model responses to a prompt side by side, then rate or edit the responses.

How is Uber different?

How is Uber different?

Uber

Other

Expertise in the subject matter

Uber’s team of tech program managers has decades of expertise leading globally scaled operations across our core verticals and apps, including rides, delivery, freight, and AI applications. We use this extensive experience to design solutions and work with our network to make sure your needs are met with precision and efficiency.

Only offer expertise for managing operations.

Product quality

Our AI/ML product testing framework carries out ongoing evaluations of your product(s) to assess model performance, usability, and functionality. Insights gained from these tests directly inform customer requirements, driving continuous improvements and making sure your product not only meets but also exceeds expectations.

N/A

Quality of process

We focus on a dynamic, ongoing process that brings feedback from domain experts, evaluators, and experienced SMEs in our network of operators straight into the guidelines, making sure they’re always improving and staying relevant.

Customer gave instructions to deliver datasets.

Additional investment

We bring in the expertise of SMEs to create thorough style guides that capture cultural nuances, genuine language use, and emotional intelligence. On top of that, we have a skilled partner engineering team to build tech solutions that back up human QA, like plagiarism detection tools. Our eLearning platform provides training for operators around the world, making sure knowledge is shared consistently and stays current. We’re dedicated to setting metrics for process and product evaluation, spotting trends and patterns, and using detailed metric analysis to guide future plans.

Provide only training, policy, and operations data analysis.