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AI Data Manager

United States, Palo Alto 140000.00 - 260000.00 USD / Year · Job Posted January 13, 2026
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Job Description

This is not a standard data management role; it’s a rare opportunity to be at the absolute frontier, shaping the data that trains our foundational models. You'll be the architect behind the datasets that power our generative video technology, working in close concert with our world-class research team to fuel the breakthrough models that millions of creators use. Think of yourself as the bridge between raw information and AI brilliance—you'll build the curation strategies, annotation workflows, and quality systems that help our models see and understand the world better.

Job Responsibility

  • Translate researcher needs into actionable data annotation and curation strategies for our SOTA vision, 3D, and audio models
  • own and manage end-to-end data pipelines and annotation workflows, collaborating with external partners and labeling teams to ensure the highest quality data
  • provide horizontal management across multiple data pipelines, ensuring consistency and quality as we expand into new modalities
  • develop innovative data curation strategies, working with a diverse mix of human-annotated, raw, and synthetic data to solve complex model challenges
  • partner directly with researchers to diagnose model performance issues and propose data-driven solutions to improve results
  • define the standards for data quality and annotation excellence, establishing the foundation for how Luma scales its data operations

Requirements

  • 2+ years of hands-on experience in AI data operations, human data annotation, or a similar data-centric role within a top-tier AI company
  • direct experience translating complex researcher needs into effective data curation and annotation workflows
  • highly adaptable and thrive on cross-functional collaboration, with a proven ability to work across a comprehensive data pipeline, not just within a single vertical like human annotation
  • experience working with vision or multimodal data pipelines
  • a hands-on individual contributor who is driven by the work, not by people management

Nice to have

  • Experience working at a company known for its SOTA vision models
  • experience at a top-tier data labeling provider
  • comfortable working with a variety of data types beyond human annotations, including raw and synthetic data
  • experience managing vendor relationships for data labeling and annotation
  • thrive in a fast-paced startup environment and have a history of taking high ownership of your work

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