Policy & Quality Specialist- ML Perception Data

Translate ML data requirements into labeling policies and ensure operational excellence.

• •As an L4 Policy & Quality Specialist, you will serve as the Mountain View operational backbone of the Labeling Policy Program.
• •Key Responsibilities Translate requirements to policies: Collaborate directly with MTV-based Perception Engineers/ ML model owners to understand their specific data goals, translate their ambiguous machine learning requirements into precise labeling instructions, and publish clear, actionable labeling policies.
• •Drive queue readiness & golden datasets: Speed up the initial labeling queue setup process by executing rapid policy iterations and hand-crafting golden datasets to establish quality baselines before launching full-scale operations.
• •Direct vendor teams: Provide technical guidance and operational direction to vendor labeling experts to enable rapid policy setup and ensure that the ~10 active labeling queues under your purview run smoothly and meet safety and performance objectives.
• •Requirements 4-5+ years of experience in data analysis, operations, or program management with a focus on machine learning data annotation, taxonomy design, or human-in-the-loop workflows.
• •Operational project management: Demonstrated ability to work independently on operational workflows and successfully project manage small sub-working groups or vendor squads.
• •Core ML data lifecycle understanding: Practical knowledge of dataset curation, labeling pipelines, data quality control metrics, and baseline model evaluation concepts.