QA Reviewer, Data Annotation

The role

You will ensure the data annotation pipeline operates at high throughput and quality. You will lead alignment sessions, identify labeling inconsistencies, and work with reviewers and partner teams to resolve edge cases.

What you will do

• Lead weekly alignment meetings with internal reviewers and vendor partners.
• Spot common reviewer errors and conduct root-cause analysis on labeling discrepancies.
• Build feedback loops to eliminate systemic mistakes.
• Keep labeling instructions, edge-case taxonomies, and SOPs up-to-date.
• Track quality scores, accuracy rates, and inter-annotator agreement metrics.
• Deliver direct feedback and targeted training to reviewers.
• Work with technical leads, operations, and annotation teams to resolve taxonomy questions.

Required qualifications

• 2–4 years of experience in quality assurance, data annotation QA, or data review in high-velocity tech or AI environments.
• Meticulous attention to detail.
• Strong written and verbal communication skills.
• Comfortable navigating dashboards, spreadsheets, and basic reports.
• Proactive, team-oriented attitude.

Nice to have

• Experience with multi-camera/ego-exo video annotation, point cloud data, or robotics training data pipelines
• Background working with third-party vendor teams (BPO/managed services) in a fast-paced hardware or AI deployment environment

About the company

Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor.