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QA Reviewer, Data Annotation

Mind Robotics· Data Flywheel
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Palo AltoFull-timePosted 4d ago

About the role

QA Reviewer & Calibration Lead to ensure high-throughput, high-quality data annotation pipeline; lead calibration sessions, identify labeling inconsistencies, and collaborate with internal reviewers and partner teams to resolve edge cases.

Responsibilities

  • Run calibration sessions: Lead weekly alignment meetings with internal reviewers and vendor partners to ensure everyone grades and labels data with high consistency.
  • Track and fix quality issues: Spot common reviewer errors, conduct root-cause analysis on labeling discrepancies, and build feedback loops to eliminate systemic mistakes.
  • Update guidelines and documentation: Keep labeling instructions, edge-case taxonomies, and SOPs clear, crisp, and up-to-date as project requirements evolve.
  • Monitor quality metrics: Track quality scores, accuracy rates, and inter-annotator agreement metrics across dashboards to ensure production targets are met.
  • Provide feedback and guidance: Deliver direct feedback and targeted training to reviewers navigating complex guidelines or multi-sensor data edge cases.
  • Coordinate cross-functionally: Work closely with technical leads, operations, and annotation teams to resolve taxonomy questions quickly and keep the data flywheel moving smoothly.

Qualifications

  • 2–4 years of experience in quality assurance, data annotation QA, or data review in high-velocity tech or AI environments.

Skills

Required:Attention to detailCommunicationData fluencyCollaboration
Nice to have:Multi-camera/ego-exo video annotation experienceVendor coordination
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Mind Robotics

Physical AI for the Real World

Mind Robotics is building intelligent robotics for industrial deployment. We believe the fastest path to broadly capable robots is through clearly defined, high-impact environments. We are starting where the need is most.

roboticsindustrial deploymentPhysical AImanufacturing
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