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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 accelerate 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+ capabilities

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 films

Product testing

Bespoke 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 linearity of decision 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 (such as travel and food) or for specific specialised categories (like programming and finance) and in 100+ languages worldwide.

Open-ended text descriptions to image/video/anime

Providing text summaries based on visual aids for gen AI start-ups creating image/video/anime from text prompts or vice versa.

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 eliminate bias.

Chat or text summarisation

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

Side-by-side review and rating/edits

A side-by-side review of several model responses to a prompt, followed by rating or editing the responses.

How is Uber different?

How is Uber different?

Uber

Others

Expertise in the subject matter

Uber’s team of technology programme 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 ensure your needs are met with precision and efficiency.

Only provide 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 ensuring that your product not only meets but also exceeds expectations.

N/A

Quality of process

We emphasise a dynamic, iterative process designed to integrate feedback from domain experts, evaluators, and experienced SMEs in our network of operators directly into the guidelines, ensuring continuous improvement and relevance.

Customer provided guidelines for delivering datasets.

Additional investment

We offer the expertise of SMEs to create comprehensive style guides, capturing cultural nuances, linguistic authenticity, and emotional intelligence. In addition, we provide a skilled partner engineering team to develop technological solutions that support human QA, such as plagiarism detection tools. Our eLearning platform delivers training for globally distributed operators, ensuring consistent and up-to-date knowledge sharing. We’re committed to defining metrics for process and product evaluation, identifying trends and patterns, and using in-depth metric analysis to inform future roadmaps.

Provide only training, policy, and operations data analysis.