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Data QA Manager

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1X Technologies

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Location:
United States , Palo Alto, California

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

95000.00 - 140000.00 USD / Year
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Job Description:

You bridge AI research priorities with real-world data collection operations. You translate model needs into executable floor plans, navigate operational constraints, enforce rigorous quality standards, and shape the data strategy that scales from today’s studio to tomorrow’s customer fleet.

Job Responsibility:

  • Lead and manage a team of data operations and QA specialists
  • Align daily collection tasks with current training priorities
  • Triage failures with researchers and update floor plans same-day
  • Own 4–6 quarter data roadmap: studio scale-up, environment diversity, QA automation, transition to hybrid internal + customer data
  • Inspect, visualize, annotate, and reject episodes daily to set and maintain quality bar
  • Develop processes and tooling for <48h research ops feedback loop
  • Prevent garbage data from entering training
  • Ensure research intent aligns with real-world signals

Requirements:

  • 8+ years in data operations or collection at top embodied AI or robotics labs
  • Proven ability to run high-tempo daily collection while authoring multi-quarter scaling plans
  • Changed daily collection plan mid-shift and improved model metrics within the week
  • Deep expertise in what makes embodied AI datasets strong (diversity, recovery density, kinematics, long-tail coverage)
  • Daily hands-on experience with episode visualization, debugging, and annotation tools
  • Track record of delivering fast iteration without sacrificing quality
  • Credibility to influence researchers and operations with data-driven arguments

Nice to have:

  • Scaled robot data collection from <50 to hundreds of units
  • Designed transition from internal-only to customer-sourced data
  • Experience on data teams at OpenAI, Covariant, Figure, Wayve, Cruise, or Tesla Autopilot
What we offer:
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays

Additional Information:

Job Posted:
January 31, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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