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.Key Responsibilities
Quality Strategy & Ownership
Define and own the end-to-end data quality strategy across robotics data collection and annotation workflowsEstablish quality KPIs, SLAs, and acceptance criteria aligned with NVIDIA requirementsDevelop and track quality OKRs, ensuring alignment with overall program goalsProactively identify risks and implement preventative quality measuresQuality Operations & Execution
Design and implement quality assurance frameworks, including audits, sampling methodologies, and validation processesOversee daily quality performance, ensuring consistency across operators, moderators, and workflowsPartner with Workflow Managers to ensure task instructions and execution align with quality standardsEnsure high-quality outputs across: Teleoperation sessions Robotics interaction data Sensor and video capture Annotation and labeling outputsPerformance Monitoring & Continuous Improvement
Monitor and report on quality metrics (accuracy, consistency, error rates, throughput impact)Conduct root cause analysis (RCA) on quality issues and implement corrective and preventive actions (CAPA)Drive continuous improvement initiatives across tools, workflows, and trainingIdentify opportunities to improve efficiency without compromising qualityTeam Leadership & Enablement




Lead and mentor a team of Robotics Quality SpecialistsDefine training programs and onboarding for new quality team membersProvide coaching and performance management for direct reportsPromote a quality-first culture across all operational layersClient & Stakeholder Engagement
Serve as the primary escalation point for quality-related issuesInterface directly with NVIDIA stakeholders on: Quality performance Reporting and insights Escalations and resolution plansPrepare and present regular quality reports and business reviewsAnticipate client needs and proactively recommend improvementsProcess, Documentation & Compliance
Maintain and evolve quality documentation, including guidelines, SOPs, and evaluation frameworksEnsure alignment with safety and compliance standards in robotics environmentsSupport cross-functional collaboration with: Safety & Compliance teams Program leadership Engineering / client teamsRequirements
Experience
Experience managing quality in large-scale data operations, robotics, AI/ML, or similar environmentsProven ability to lead cross-functional teams in rapid-paced, client-facing settingsStrong background in quality frameworks, process improvement, and data-driven decision makingExperience with robotics workflows, teleoperation, or sensor-based data collection preferredCore Skills
Strong analytical mindset with ability to interpret and act on dataExperience with RCA, CAPA, and continuous improvement methodologiesExcellent communication skills with ability to influence stakeholdersAbility to manage multiple priorities and drive outcomes under tight timelinesHigh attention to detail with a focus on scalable quality systemsKey Competencies
Strategic thinking with strong execution focusOwnership mindset and accountability for outcomesAbility to drive quality across complex, multi-layered workflowsStrong leadership, coaching, and team development skillsCustomer-centric approach with proactive problem solving

📌 Robotics Collection Lead (Canada)
🏢 Welocalize Life Sciences
📍 Canada