Uber AI Solutions provides a powerful suite of AI-powered services designed to support enterprises in building, validating, and optimizing AI and machine learning models efficiently.

¶ Core Services

• 🔍 Data Annotation & Labeling Expert annotation across a wide range of modalities—including text, audio, images, video, and 3D point clouds. With more than 30 advanced capabilities such as semantic segmentation, intent tagging, sentiment analysis, and LiDAR data labeling, Uber ensures that training data is both precise and production-ready.
• 🧪 Product Testing Rapid iteration and validation through flexible SLAs, over 3,000 physical test devices, and multiple testing frameworks. This streamlines the development lifecycle and accelerates time to market for your products.
• 🌐 Language & Localization Best-in-class localization services covering over 100 languages and dialects across Europe, Asia, the Middle East, and Latin America. Deliver user experiences that feel local—anywhere in the world.

¶ Get Started

Uber AI Solutions enables organizations to operate with confidence at scale—delivering intelligent data workflows, rigorous testing, and culturally adapted content.

Learn more:

• 🌐 Website: uber.com/scaled-solutions
• 📬 Contact Sales
• ✉️ Support: client-support.scaledsolutions@uber.com

¶ 📚 Guides

• Authentication - OAuth 2.0 setup and token management
• Data Hosting - Cloud storage integration (AWS, GCP, Azure)
• Key Concepts - Understanding accounts, batches, projects, and workspaces

¶ 🎯 Work Types

Explore our specialized work types organized by domain:

Labeling Domain:

• Classification - Categorize and label data across images, videos, audio, and text
• Object Detection - Identify and locate objects in images and videos with bounding boxes
• Segmentation - Pixel-level annotation for images
• Transcription - Convert speech to text from audio
• Event Tagging - Mark temporal events and entities in video and audio
• Named Entity Recognition - Extract and classify named entities from text
• Document Annotation - Annotate structured and unstructured documents (PDFs)

Localization Domain:

• Translation - Professional human translation

¶ 🔌 API Reference

Interactive API documentation with code samples in cURL, Python, JavaScript, and Java:

• Submit Batch - Create labeling/localization batches by work type
  • Indirect Demand (CSV file reference - best for large batches)
    • Labeling Work Types:
      • Classification - Supports: Image, Video, Audio, Text
      • Object Detection - Supports: Image, Video
      • Segmentation - Supports: Image
      • Transcription - Supports: Audio
      • Event Tagging - Supports: Video, Audio
      • Named Entity Recognition - Supports: Text
      • Document Annotation - Supports: PDF
    • Localization Work Types:
      • Translation - Supports: Text
  • Direct Demand (inline task data - best for dynamic generation)
    • Labeling Work Types:
      • Classification - Supports: Image, Video, Audio, Text
      • Object Detection - Supports: Image, Video
      • Segmentation - Supports: Image
      • Transcription - Supports: Audio
      • Event Tagging - Supports: Video, Audio
      • Named Entity Recognition - Supports: Text
      • Document Annotation - Supports: PDF
    • Localization Work Types:
      • Translation - Supports: Text
• Get Batch - Track batch status and progress
• Get Batches - Query and filter batches
• Cancel Batch - Cancel in-progress batches
• Get Batch Result - Download processed results
• Generate Batch Result - Manually trigger result generation
• List Tasks - View individual tasks within a batch