Policy & Quality Specialist- ML Perception Data

Highlights

• Translate ML data needs into scalable labeling policies for perception.
• Hand-craft golden datasets to launch fast, high-quality labeling queues.
• Guide vendor teams across ~10 active queues tied to safety goals.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Company benefits program

Ideal candidate

Technical, detail-obsessed operator who loves turning ambiguous ML needs into clear policies and thrives driving alignment across engineers and vendors.

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
• Demonstrated ability to work independently on operational workflows and project manage small sub-working groups or vendor squads
• Practical knowledge of dataset curation, labeling pipelines, data quality control metrics, and baseline model evaluation concepts
• Experience conducting technical data analyses to diagnose pipeline issues, track vendor quality, and generate actionable insights
• Comfort working in a dynamic environment, translating vague technical needs into clear documentation with high attention to detail