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Job Responsibilities:
Role OverviewWe’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- Communicates early when standards are unclear or outdated and updates quality documentation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.
Skills Required
- Bachelor's degree or equivalent work experience
- Strong attention to detail and ability to apply consistent logic across diverse scenarios
- Ability to navigate computer-based tools and learn new software quickly
- Clear written and verbal communication skills
- Reliable, self-motivated, collaborative work style
- Ability to manage multiple assignments and small or medium quality workstreams
- Ability to apply SOPs and QA checks consistently and escalate risks early
- Ability to work independently in a remote environment
- Hands-on experience with robotic, autonomous, or teleoperated systems
- Experience in data annotation, data entry, legal documentation, evaluation, or human-in-the-loop systems
- Experience with data validation and audit workflows
- Experience in operations, quality coordination, or data analysis
- Basic business intelligence familiarity
What We Do
Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 250,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our people work across offices in North America, Europe, and Asia serving our global clients in the markets that matter to them. • Global team of 2,100+ • Offices in North America, Europe and Asia • Quality Certifications: ISO 9001:2015, ISO/IEC 27001:2013, ISO 17100:2015, ISO 13485:2016, ISO 18587:2017 • Accredited professional translators and interpreters for 250+ languages www.welocalize.com
