Physical AI Data Quality Analyst

Key Responsibilities 

• Review and score full robotics episodes using a standardized quality rubric and apply judgments consistently across high-volume batches 
• Evaluate demonstrations against established quality criteria, including task execution, natural movement, visibility, workflow consistency, realistic behavior, and overall usability 
• Identify and document failure cases, unsafe behavior, and edge cases with clear written rationale
• Monitor recurring quality trends and surface patterns that suggest gaps in process, tooling, or training
• Collaborate with stakeholders to improve quality standards and review workflows over time

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  Preferred Qualifications

• Hands-on experience with robotic, autonomous, or teleoperated systems
• Experience in data annotation, data entry, legal documentation, evaluation, or human-in-the-loop systems
• Exposure to tools and workflows for data validation and audit

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  Basic Qualifications

• Bachelor’s degree or equivalent work experience 
• Strong attention to detail and the ability to apply consistent logic across diverse scenarios
• Comfortable navigating computer-based tools and quickly learning new software
• Patient, quality-focused mindset with the ability to juggle multiple assignments
• Clear written and verbal communication skills
• Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment

• • Identifies and documents edge cases to refine review guidelines over time

   

   

  What Good Looks Like

• Meets daily throughput targets while maintaining a high standard of accuracy and attention to detail
• Applies rubric rules across diverse tasks and operators to maintain high data reliability
• Provides specific, actionable written feedback that helps teleoperators improve collection practices
• Communicates early when standards are unclear or outdated and updates quality documentation

Education