…Position Overview We are looking for a Technical Product Manager - Data Annotation & Labelling with 5+ years of experience to lead and scale the full…

…Defines data annotation and labeling processes to ensure data quality, independently. Designs and implements automation of data validation and governance. Data Pipeline and Solutions…

…to work reliably in production. You will manage the full model lifecycle — from assessing and curating training data through annotation, training, evaluation, and deployment…

…operations, data collection coordination, or a related technical operations role. Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices. Experience…

…and ability to articulate technical and product tradeoffs clearly. NICE-TO-HAVES - Experience building tooling for data labeling, annotation, or human-in-the-loop…

…vendor/partner management, data operations, or program management, ideally supporting ML/AI evaluation, annotation, or data labeling programs Demonstrated experience managing external vendor relationships…

…Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service…

…labeling — designing annotation guidelines, taxonomies, and decision trees that enable cross-functional annotation teams to label data consistently, accurately, and at scale. Quality & Data…

…analytics and model training Understanding of data requirements for training deep learning models including dataset preparation, annotation management, and feature store integration Experience with…

…Mentors less experienced team members to define data annotation and labeling processes to ensure data quality. Identifies opportunities for automation of data validation and…

…Lead the evolution of our HITL suite, enabling seamless human feedback loops for data labeling, annotation quality assurance, and ground truth generation. 5. Technical…

…Technical Program Management, Data Operations, or Operations Management within an AI/ML or data-intensive environment. Deep hands-on experience with data labeling, annotation…

…technical operations roles supporting AI, machine learning, or data-driven product development Experience managing cross-functional programs involving data pipelines, data labeling, annotation workflows…

…Previous exposure to large scale Robotics data curation, annotation, filtering pipelines, including the use of AI models for data labeling. Experience deploying NVIDIA inference…

…from raw audio ingestion to production-ready datasets - Build and evolve labeling specs, style guides, and instructional documentation for global annotation teams - Identify opportunities…

…high-quality annotations across task types. - Annotate and correct multimodal data: Label, audit, and rectify inaccuracies across text, image, and structured data, maintaining a…

…traditional manual data annotation processes to state-of-the-art foundation model solutions. - 6+ years of technical product or program management experience - 5+ years…

…Own the requirements for perception data pipelines including collection, labeling, and the feedback loop from field deployments. Lead product requirements for safe perception: reason…

…traditional manual data annotation processes to state-of-the-art foundation model solutions. - 6+ years of technical product or program management experience - 5+ years…

…and experience manager managers. - Background at companies where AI is the core product; you've shipped in environments where model quality, data pipelines, and…

…Practical knowledge of dataset curation, labeling pipelines, data quality control metrics, and baseline model evaluation concepts. Analytical aptitude: Experience conducting technical data analyses using…

…labeled data collection at scale, matching domain experts with leading AI companies to train frontier models. We're hiring a Senior Product Manager, Coding…

…Data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset management and quality. Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and…

…ML data pipelines and the tooling around them (e.g., data labeling systems, eval frameworks, quality metrics) - Excellent communication and stakeholder management. You’re…

…annotation requirements, own the data roadmap, and drive end-to-end delivery across labeling vendors and internal teams. The best candidate combines strong product…