AI Data Annotation Specialist (human)

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From Neura Robotics’s original posting

Your Mission & Challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, annotation workflow design, and machine learning — with a strong focus on building training datasets for multimodal foundation models that connect perception, language, and robot action. Your primary responsibility is to design and maintain scalable workflows for automated and human-in-the-loop annotation, ensuring that datasets are properly labeled, curated, validated, and formatted for efficient model training and evaluation. You play a critical role in enabling high-quality embodied AI systems by transforming raw multimodal robot data into structured, reliable, and semantically rich training datasets. • Design, build, and maintain pipelines for automated, semi-automated, and human-in-the-loop data annotation, with a focus on subtask labeling for long-horizon robot demonstrations • Develop annotation workflows for language-grounded robot learning and Visual Question Answering (VQA) datasets, including instruction generation, subtask decomposition, and grounding of natural language in visual and action data • Ingest and integrate multimodal data (video, depth,…