Generative AI
Enterprises like yours are using Uber's Scaled Solutions to build, annotate, curate, test, and localize their generative AI offerings.
8+ years
Expertise in managing large-scale AI and ML operations
100+ languages
Including languages in Asia, Europe, Latin America, the Middle East, and more
25+ capabilities
Chat or text summarization
Consensus labeling
Data collection: audio/video/image
Open-ended text descriptions to image/video/anime
Preference rating for multi-responses
Prompt response evaluation/ranking
Side-by-side review and rating/edits
Synthetic data creation
10+ areas of expertise
Auto
Entertainment
Finance
Gaming
Language
Programming
Reasoning
Science
Sports
TV and movies
Bespoke AI and ML frameworks for your product
- Define use cases and behavior
- Ensure readiness by collateral development
- Validate coverage of test cases
- Evaluate model learning ability
- Evaluate speed to response, 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 many more
- Benchmark against other AI/ML products
Use cases
Synthetic data creation
Creating Q&A pairs from scratch across a broad range of topics (such as travel and food) or for specific specialized categories (like programming and finance) and in 100+ languages globally.
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 multi-responses
Rating/ranking preference of multiple responses for the same prompt (LLMs or text to image/video models)
Consensus labeling
Classification or rating done across multiple diverse groups (such as regions and genders) to get a consensus score and eliminate bias.
Chat or text summarization
Providing a summary and/or evaluating model output on summarization.
Side-by-side review and rating/edits
Side-by-side review of multiple model responses to a prompt, followed by rating or editing the responses.
How is Uber different?
Uber | Others | |
---|---|---|
Subject matter expertise | 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 provide expertise for managing operations. |
Product quality | Our AI/ML product testing framework conducts ongoing evaluations of your product(s) to assess model performance, usability, and functionality. Insights gained from these tests directly inform customer requirements, driving continuous enhancements and ensuring that your product not only meets but also exceeds expectations. | N/A |
Process quality | We emphasize a dynamic, iterative process designed to integrate feedback from domain experts, evaluators, and seasoned SMEs in our network of operators directly into the guidelines, ensuring continuous improvement and relevance. | Customer provided guidelines to deliver datasets. |
Additional investment | We offer the expertise of SMEs to craft comprehensive style guides, encapsulating cultural nuances, linguistic authenticity, and emotional intelligence. Additionally, 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 dispersed operators, ensuring consistent and up-to-date knowledge dissemination. 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. |
About us
Overview
8+ years of nuanced expertise
30+ capabilities
100+ languages
Solutions
Industries
Auto & AV
BFSI
Catalog management
Chatbots / customer support
Consumer apps
E-commerce / retail
Generative AI
Health / medical AI
Manufacturing
Media / entertainment
Robotics
Social media
Tech
Offerings
Data labeling
Reasoning
Text and language
Image
Media
Search
Testing
E2E functional testing
Linguistic testing
Accessibility and compliance
Model evaluation
App performance testing
Localization
Product UI
Marketing
Support
Legal
Technology
Testlab
Uber’s custom test management & testing platform
uTranslate
Uber’s in-house platform that makes apps feel local for everyone, everywhere