Hybrid Operations Lead – Perception Data Labeling

Posted 21 hours ago

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About the role

  • Operations Lead on Perception Data Labeling at Zoox. Collaborating with cross-functional teams to deliver quality training data for AI models.

Responsibilities

  • Translate and coalesce company-wide feature requirements into concrete and comprehensive data deliverables
  • Work collaboratively with AI teams, project management, and data annotation teams to manage the collection and labeling of training and evaluation data powering Zoox’s AI perception stack.
  • Manage vendor allocation and budgeting in conjunction with the milestone and release timelines at Zoox.
  • Define and maintain clear tracking of outcomes, risk, and data quality to ensure transparency and accountability.

Requirements

  • Experience in Technical Program Management or Operations Strategy: 5+ years of experience managing complex, cross-functional programs within the technology, autonomous driving, or AI/ML sectors.
  • Perception & Sensor Domain Knowledge: Strong understanding of the machine learning development lifecycle (MLDL) and familiarity with autonomous vehicle sensor modalities (LiDAR, Radar, Camera, Thermal) and their respective data annotation requirements.
  • Strategic Capacity Planning: Demonstrated ability to translate high-level product roadmaps and engineering requirements into granular operational execution plans. Experience managing resource allocation and throughput for large-scale workflows.
  • Vendor Ecosystem Understanding: Experience overseeing large-scale vendor operations or managed service providers, specifically regarding quality, latency, and volume targets.
  • Data Literacy: Proficiency with SQL or Python/Pandas to query databases, analyze throughput metrics, and generate reports without needing engineering support.

Job title

Operations Lead – Perception Data Labeling

Job type

Experience level

Senior

Salary

$163,000 - $223,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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