优步为贵公司提供最优质的数据标注、测试和本地化服务
随着优步扩大规模，每天为超过 2800 万次出行和派送提供支持，我们针对产品、平台、人工智能 (AI) 和机器学习 (ML) 领域的创新投入了大量资源。为实现这些目标，我们创建了一个世界一流的技术平台，旨在满足我们在数据标注、测试和本地化方面不断变化的需求。现在，您也可以使用这个平台了。
借助优步的扩充解决方案，您可以利用我们的技术、工具和平台拓展业务，并由优秀且细心的分析师、测试人员和独立数据操作员提供支持。我们的技术项目经理将成为您的战略思想合作伙伴，为您不断变化和拓展的需求提供支持。
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
在过去 8 年里，我们构建的解决方案为全球各大城市的用户带来了美好的体验。我们也已准备好进一步拓展这种美好的体验，从而满足您的需求。
Industry-leading solutions
利用优步的技术，您可以享受最高品质和运营上的灵活性。
The platform for work
通过优步平台，我们创造灵活的赚钱机会，希望对我们所服务的地区产生积极影响。
优步扩充解决方案的合作企业
Randon Santa，项目负责人
“在管理自动驾驶车辆数据标注方面，优步的全球扩充解决方案非常出色。他们能够根据每个项目的需求进行调整和扩展，再加上有效沟通和团队协作，能够确保提供高品质、高价值和高效率的服务。”
Amit Jain，首席执行官
“人工注释数据在我们的模型训练中发挥着关键作用。优步一直是我们珍视的合作伙伴，为项目设计提供深入见解，并利用其专业知识高效生成高质量数据。在整个过程中，优步的规模、品质和服务都为我们带来了宝贵的价值。”
Brian McClendon，高级副总裁
“Niantic 利用使用机器学习和人工智能来构建世界的 3D 地图。这项工作需要一个机动灵活的合作伙伴，来处理动态数据注释需求。我们选择优步是因为他们在运营和技术上的专业能力，我们对迄今为止的成果很满意。”
Harishma Dayanidhi，联合创始人
“能够在不同队列中实时接触到实际操作的工作流程，对我们来说至关重要，因为这有助于简化运营流程。优步一直是优秀的合作伙伴，与我们就流程问题集思广益，并运用其专业知识来提高效率。优步提供个性化工具，拥有丰富的经验，为我们的企业带来了改变。”
我们的产品和服务
(Click on the tags below for a topic most relevant to your needs)
Data labeling & annotation
优步利用人工智能和机器学习，成功突破许多艰难的挑战，包括提升安全性和准确估计到达时间，推荐餐点，精准匹配乘客、合作车主、派送员、商家和 Uber Eats 优食用户等。我们开发了由人力驱动的人工智能/机器学习解决方案，涵盖数据管理的完整流程，包括训练、评估和部署模型，以及生成和监控预测结果。
利用我们在生成式人工智能、计算机视觉、NLP（自然语言处理）、自动化技术 等方面的专业知识。
我们在文字、语音、视频、激光雷达、搜索、图片、文件、动画/动漫等领域的品质、规模和灵活性，能够帮助您的企业脱颖而出。
我们在多模态模型、高级语言理解和尖端视觉识别系统等领域拥有丰富经验，是您推进人工智能/机器学习项目的理想合作伙伴。
Product testing
优步是一家科技公司，其使命是革新并改进人们的出行方式和物品的流动方式。我们构建的技术帮助我们开发和维护多方平台，让消费者能在全球 70 多个国家/地区的 1 万个城市享受出行和派送服务。
我们的专职团队和解决方案可以帮助您更快地为市场做好准备。我们运用多个操作系统和 3,000 多台测试设备，提供重要的表现深入分析、简化的测试流程，以及高影响力的品质保证。我们的服务旨在确 保您的应用在所有情况中都能顺畅运行。无论您的目标是优化用户界面、确保端到端功能顺利运行，还是确保合规并提供无障碍功能，我们都能帮助您为顾客打造美好的移动端体验。我们还提供 A/B 测试，以验证流畅度、情境感知和相关性等。
本地化
如果您想为世界各地的所有用户打造一流的本地化体验，不妨考虑我们的服务。
我们提供人工智能和机器翻译 (MT) 支持，助力您实现全球化和本地化的目标。我们不仅重视自动化技术，也重视人工语言品质审核 (LQA)。
与我们携手合作，充分利用我们的语言专家网络。这些专家熟悉多种语言和文化背景，能够协助贵公司实现全球化发展。无论您是希望扩大全球影响力，为新市场调整产品定位、确保全球用户都能理解您的内容，还是希望训练和评估跨语种的大型语言模型 (LLM)，我们的本地化解决方案都能满足您的项目特定需求。
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
测试环境
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.
地图
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.
搜索
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.
应用性能测试
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
通过我们成熟的全球框架、持续的技术创新和严格的流程改进措施来提高成本效率。
不断改进和提高准确性，确保每项任务都能达到最高的行业标准，展示无懈可击的卓越。
确保您的技术和运营工作在灵活性、适应性和速度方面保持领先，应对人工智能所带来的挑战性。
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