為貴公司提供最優質的 Uber 資料標籤、測試和本地化服務
As we’ve scaled Uber to power more than 33 million trips across mobility and delivery every day, we have invested in innovation in product, platform, and artificial intelligence (AI) and machine learning (ML) . To enable these, we’ve created a world-class technology platform that is designed to meet our evolving requirements across data labeling, testing, and localization. We’re now making this available to you.
Uber AI Solutions helps you grow your business with our technology, tools, and platform supported by high-quality, nuanced analysts, testers, and independent data operators. Our tech program managers will be your strategic thought partners in supporting your dynamic and scaled requirements.
Introducing Uber AI Solutions
With over 9 years of expertise in managing large-scale data labeling operations, we offer 30+ advanced capabilities, including image and video annotation, text labeling, 3D point cloud processing, semantic segmentation, intent tagging, sentiment detection, document transcription, synthetic data generation, object tracking, and LiDAR annotation.
Our multilingual support spans 100+ languages, covering European, Asian, Middle Eastern, and Latin American dialects, ensuring comprehensive AI model training for diverse global applications.
Our solutions include:
Data annotation and labeling: Expert, precise annotation services for text, audio, images, video, and many more technologies
Product testing: Efficient product testing with flexible SLAs, diverse frameworks, 3,000+ test devices, all streamlined for an accelerated release cycle
Language and localization: World-class user experience for everyone, everywhere
Built for scale
Over the last 9 years, we’ve built solutions that drive magical experiences across cities around the world, and we’re ready to extend that magic to your needs
Industry-leading solutions
您可以透過 Uber 的核心技術，享受最高品質和營運上的靈活性。
The platform for work
我們透過平台創造靈活的賺錢機會，希望為我們服務的社群帶來正面影響。
Industries that leverage Uber AI Solutions
Enterprises that work with Uber AI Solutions
計畫主管 Randon Santa
“Uber AI Solutions excel in managing work for autonomous vehicle data labeling. Their ability to adapt and scale according to the demands of each project, coupled with their commitment to effective communication and teamwork, ensures the delivery of high quality, good value, and efficient services.”
Yanki Onen, Founder
"As Wamo expands into new markets, partnering with Uber AI Solutions is helping us deliver truly localized experiences at scale. From our website and CRM to onboarding and the app, their advanced globalization technology enables us to connect with users in their own language—accurately and with cultural relevance. This collaboration is key to building trust in every region we enter. Huge thanks to the Uber AI Solutions team for being a responsive, reliable, and innovative partner—we’re just getting started!"
資深副總裁 Brian McClendon
「Niantic 運用機器學習和人工智慧來構建世界的 3D 地圖，這項工作需要靈活的合作夥伴來處理動態數據的註解需求。我們之所以選擇 Uber，是因為他們在營運和技術上的專業能力，迄今為止的成果也讓我們非常滿意。」
Paras Jain, CEO
"Human-annotated data is essential for training Genmo’s frontier-level multimodal models. Uber AI Solutions brings the scale, rigor, and responsive tooling we need to generate high-quality datasets quickly and cost-effectively."
共同創辦人 Harishma Dayanidhi
「能夠在不同佇列中即時接觸到實際操作的工作流程，對我們來說非常重要， 因為這有助於簡化營運流程。Uber 不僅是出色的合作伙伴，還在建立這些流程時與我們一起腦力激盪，透過他們的專業知識來提升效率。Uber 提供量身打造的工具和豐富的經驗，為我們的公司帶來改變。」
Perception machine learning
"It's known that large-scale production of high-quality annotation is generally required to achieve robustness in autonomous driving. Uber has been consistently delivering annotation services that not only meet our high standards for quality and speed, but also respond flexibly to our quick changes and needs in our long-term collaboration.
They have proven their ability to meet demanding requirements in autonomous driving, where high precision in annotation is essential. Their reliability, adaptability, and responsiveness have made them a trusted and valuable partner in our development process."
執行長 Amit Jain
「人工註解資料在我們的模型訓練中扮演重要角色。Uber 一直是我們珍貴的合作夥伴，為專案設計提供見解，並利用專業知識有效產生高品質資料。在整個過程中，Uber 的規模、品質和服務皆為我們帶來了珍貴價值。」
Steffen Abel, CTO/Co-Founder
"Uber AI solutions bring advanced, industry-standard QA expertise backed by over a decade of building mobile excellence, the team was quick to understand our requirements and commenced Mobile and Web testing for our specific products. The testing process included the implementation of the test coverage framework and using GenAI to develop test cases which improved our feature coverage and reduced our time to market. Consequently, we can now test any feature within 24 hours and have expanded our testing coverage to include options for multiple browsers and platforms."
我們的服務項目
(Click on the tags below for a topic most relevant to your needs)
Data labeling & annotation
從推薦餐點/商品、提升安全性到準確預估抵達時間，以及在乘客、司機、外送合作夥伴、商家和 Uber Eats 使用者之間進行精準配對，Uber 利用人工智慧和機器學習技術，成功突破許多艱難的挑戰。我們開發了由人力驅動的人工智慧/機器學習解決方案，涵蓋數據管理的全部流程，包括訓練、評估和部署模型；以及生成和監控預測結果。
充分利用我們在生成式 AI、電腦視覺、NLP (自然語言處理)、自動化技術等領域的專業知識。
我們在文字、音訊、影片、LiDAR、搜尋、圖片、文件、動畫/動漫等領域的品質、規模和靈活度，能夠協助您的企業脫穎而出。
我們在多模態模型、進階語言理解和尖端視覺辨識系統等領域擁有豐富的經驗，是您推動人工智慧/機器學習專案的最佳合作夥伴。
Product testing
Uber 是一間科技公司，致力為世界提供更便捷的移動新選擇。我們透過自行建構的技術開發和維護多邊平台，讓消費者能在全球 70 多個國家/地區和 1 萬多個城市享受叫車和外送服務。
Uber 的專業團隊和解決方案能夠協助您更快為市場作好準備。我們運用多個作業系統和 3,000 多個測試裝置提供重要的成效深入分析、簡化的測試流程，以及高影響力的品質保證。我們的服務旨在確保您的 App 在所有的情況下皆能完美運作 (無論您的目標在於改善使用者介面、確保全程功能，還是保證產品遵循法規並提供無障礙功能)，並確保您能為顧客創造神奇的行動裝置體驗。我們也提供 A/B 測試，以驗證流暢度、情境感知和相關性等方面。
本地化
如果您的企業想為全球各地的所有人打造一流的本地化體驗，不妨考慮我們的服務。
我們提供人工智慧和機器翻譯 (MT) 支援，能協助您在全球化的過程中保持本地化優勢，不僅依賴自動化技術，也重視人工語言品質審核 (LQA) 的流程。
與我們攜手合作，充分利用我們的語言專家網路，這些專家熟悉多種語言和文化背景，能協助您的公司實現全球化發展。不論您是要進軍全球市場、為新市場調整產品定位、希望全球各地的使用者都能理解您的內容，還是需要訓練並評估跨語種的大型語言模型 (LLMs)，我們的本地化解決方案都能滿足您專案的特殊需求。
uLabel
A highly configurable UI platform for all your data needs
Introducing uLabel
The innovative data-labeling platform built by Uber, for Uber, is designed to redefine workflow management and elevate efficiency. 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.
Scalable, fully custom configurable workflow and work orchestration
Supports auditability, quality workflows, consensus, edit review, and sampling workflows
Labeling and operator metrics improve efficiency and reduce costs
Configurable UI based on use case
uTask
A fully configurable, real-time work orchestration platform equipped for all your needs
Meet uTask
At the core of our solutions is maintaining the highest standards of quality.
Everything we do revolves around a framework that integrates various components to provide excellence in every aspect of our operations.
Our platform is designed to deliver scalable, fully custom, configurable work orchestration. Tailor your experience with consensus, edit-review, and sampling workflows, all while monitoring labeling and operator metrics. Our configurable UI adapts to your specific use case, ensuring real-time work orchestration that aligns with your operations and elevates your workflow efficiently. Benefit from intelligent matchmaking that pairs tasks and projects with skilled individuals, optimized by our programmatic data exchange and task upload capabilities.
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
測試環境
Uber’s custom test management & testing platform
uTranslate
Uber’s in-house platform that makes apps feel local for everyone, everywhere
Text labeling
Text labeling annotates data with tags to help machine learning models understand it, enabling tasks like sentiment analysis, entity recognition, and intent classification for AI-driven chatbots, search, and recommendations.
Image labeling
Image labeling assigns meaningful tags or annotations to images, helping machine learning models recognize objects, scenes, or patterns for applications like autonomous vehicles, facial recognition, and medical imaging.
Video labeling
Video labeling annotates frames with tags to help machine learning models detect objects, actions, and events, enabling applications like surveillance, autonomous driving, and content recommendation.
Audio labeling
Audio labeling tags sound data to help machine learning models recognize speech, music, and effects, enabling applications like voice assistants, speech-to-text, and sound event detection.
地圖
Maps labeling annotates geographic data with tags to help machine learning models recognize locations, routes, and landmarks, enabling applications like navigation, geocoding, and urban planning.
ADAS & LIDAR
ADAS and LiDAR labeling annotates sensor data to help machine learning models detect objects, lane markings, and obstacles, enabling applications like autonomous driving, collision avoidance, and 3D mapping.
搜尋
Search labeling tags queries and results to help machine learning models understand intent, relevance, and ranking, enhancing applications like web search, e-commerce recommendations, and AI-driven assistants.
AR / VR Labeling
AR/VR labeling annotates virtual and real-world data to help machine learning models enhance object tracking, spatial awareness, and interactions, enabling applications like gaming, training, and immersive experiences.
End-to-end testing
End-to-end testing ensures your app works as expected from start to finish by testing its entire workflow, including integrations, databases, and user interactions, to detect issues before deployment.
User experience testing
User experience (UX) testing evaluates a product’s usability, accessibility, and overall experience by analyzing real user interactions, identifying pain points, and optimizing design for better engagement.
Accessibility testing
Accessibility testing ensures digital products are usable by people with disabilities by evaluating compliance with WCAG standards, testing assistive technologies, and improving inclusivity for all users.
App 效能測試
App performance testing evaluates speed, responsiveness, and stability under different conditions by simulating loads, monitoring resource usage, and identifying bottlenecks to ensure a smooth user experience.
Compliance testing
Compliance testing verifies that a product meets regulatory, legal, and industry standards by assessing security, data privacy, and operational policies to ensure adherence and avoid penalties.
Device & OS testing
Device and OS testing ensures an app functions correctly across different devices, operating systems, and versions by checking compatibility, performance, and UI consistency to optimize user experience.
Automated & Manual LQA
Automated LQA (Linguistic Quality Assurance) leverages AI to detect untranslated text, truncation, formatting, and linguistic inconsistencies, ensuring efficiency at scale. Manual LQA involves human reviewers verifying accuracy, fluency, cultural relevance, and adherence to brand voice
AI / Machine Translation Enablement
AI/Machine Translation Enablement optimizes localization using 60+ custom MT models, domain-specific training, and human-in-the-loop validation to ensure high accuracy, faster turnaround, and scalability
Routing Platform & Connector
The Routing Platform & Connector automates localization workflows by integrating with S3, Google Suite, and TMS, ensuring seamless content distribution, efficient routing, and scalable translation management
Nuanced & Experienced Linguistics
Nuanced & Experienced Linguistics leverage 1,000+ linguists and SLV vendor models, ensuring high-quality translations with domain expertise, cultural adaptation, and consistency across workflows
運用我們經過驗證的全球架構、持續的技術創新，以及嚴格的流程改進措施來提高成本效益。
不斷提升品質並提高準確度，確保每一項任務都符合業界最高標準，展示無懈可擊的卓越。
確保您的技術和營運在彈性、適應性和速度方面保持領先，應對開發人工智慧所帶來的挑戰。
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