Job Responsibilities:
The Robotics Data Quality Lead is responsible for defining, implementing, and continuously improving quality standards across all robotics data collection workflows. This role ensures that all collected data (video, sensor, teleoperation outputs, and annotations) meets client-defined accuracy, consistency, and usability requirements for AI model training.
Working closely with the Robotics Program Manager and Workflow Managers, this role drives quality strategy, establishes scalable QA frameworks, and serves as the primary point of contact for all quality-related matters with stakeholders.
Key Responsibilities
Quality Strategy & Ownership
- Define and own theend-to-end data quality strategyacross robotics data collection and annotation workflows
- Establishquality KPIs, SLAs, and acceptance criteriaaligned with NVIDIA requirements
- Develop and trackquality OKRs, ensuring alignment with overall program goals
- Proactively identify risks and implementpreventative quality measures
Quality Operations & Execution
- Design and implementquality assurance frameworks, including audits, sampling methodologies, and validation processes
- Overseedaily quality performance, ensuring consistency across operators, moderators, and workflows
- Partner with Workflow Managers to ensuretask instructions and execution align with quality standards
- Ensure high-quality outputs across:
- Teleoperation sessions
- Robotics interaction data
- Sensor and video capture
- Annotation and labeling outputs
Performance Monitoring & Continuous Improvement
- Monitor and report onquality metrics (accuracy, consistency, error rates, throughput impact)
- Conductroot cause analysis (RCA)on quality issues and implementcorrective and preventive actions (CAPA)
- Drivecontinuous improvement initiativesacross tools, workflows, and training
- Identify opportunities to improve efficiency without compromising quality
Team Leadership & Enablement
- Lead and mentor a team ofRobotics Quality Specialists
- Define training programs and onboarding for new quality team members
- Providecoaching and performance managementfor direct reports
- Promote aquality-first cultureacross all operational layers
Client & Stakeholder Engagement
- Serve as theprimary escalation pointfor quality-related issues
- Interface directly with NVIDIA stakeholders on:
- Quality performance
- Reporting and insights
- Escalations and resolution plans
- Prepare and presentregular quality reports and business reviews
- Anticipate client needs and proactively recommend improvements
Process, Documentation & Compliance
- Maintain and evolvequality documentation, including guidelines, SOPs, and evaluation frameworks
- Ensure alignment withsafety and compliance standardsin robotics environments
- Support cross-functional collaboration with:
- Safety & Compliance teams
- Program leadership
- Engineering / client teams
Requirements
Experience
- Experience managing quality inlarge-scale data operations, robotics, AI/ML, or similar environments
- Proven ability to leadcross-functional teams in fast-paced, client-facing settings
- Strong background inquality frameworks, process improvement, and data-driven decision making
- Experience withrobotics workflows, teleoperation, or sensor-based data collectionpreferred
Core Skills
- Strong analytical mindset with ability to interpret and act on data
- Experience withRCA, CAPA, and continuous improvement methodologies
- Excellent communication skills with ability to influence stakeholders
- Ability to manage multiple priorities and drive outcomes under tight timelines
- High attention to detail with a focus on scalable quality systems
Key Competencies
- Strategic thinking with strong execution focus
- Ownership mindset and accountability for outcomes
- Ability to drive quality acrosscomplex, multi-layered workflows
- Strong leadership, coaching, and team development skills
- Customer-centric approach with proactive problem solving