Physical AI Data Quality Analyst

About the role

If you have a Candidate Login already, but have forgotten your password please use the steps to reset your password. If you have forgotten your email login, please contact  subject Workday Candidate Login When creating your Workday account and entering personal information like name, address, please do not use ALL CAPS. Thank you! NOTICE:   For Privacy Policy please review here Job Responsibilities: Role Overview We’re hiring a Physical AI Data Quality Analyst to assess collected robotics data using research-defined quality standards. This role is ideal for someone who has high attention to detail, makes logical decisions, catches subtle differences in motion and perception, and can communicate their findings with clarity and precision. 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     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   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 Additional Job Details: Education   Bachelor’s degree or equivalent experience in Quality, Operations, Business, or Data/Engineering.   Experience   0–2 years in operations/quality coordination or data analysis.   Skills   Organization across multiple small workstreams; attention to detail.   Clear communication with internal teams, vendors, and PMs.   Good use of spreadsheets and task boards; basic BI familiarity is a plus.   Applies SOPs and QA checks consistently; escalates risks early.   Operates independently day to day in a remote environment.   Scope & Autonomy   Manages small/medium quality workstreams within defined processes.   Independent in routine decisions; seeks guidance for non-standard items.   Collaboration with cross-functional teams.