Robotics Data Quality Lead — QA Strategy & Impact

Welocalize, Inc; California; Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Welocalize, Inc. seeks a Robotics Data Quality Lead to define and drive quality standards across robotics data collection and annotation workflows for AI model training.

You will partner with program and workflow managers to establish scalable QA frameworks and serve as the primary quality contact for stakeholders. The role involves owning quality strategy, setting KPIs/OKRs, and guiding prevention actions while ensuring high-quality outputs from teleoperation, sensor, video, and labeling

Qualifications

• Experience with quality in large-scale data operations, robotics, AI/ML, or similar environments.
• Strong ability to lead cross-functional teams in fast-paced, client-facing settings.
• Proven expertise in quality frameworks, process improvement, and data-driven decision making.
• Experience with robotics workflows, teleoperation, or sensor-based data collection preferred.

Responsabilités

• Define and own the end-to-end data quality strategy across robotics data collection and annotation workflows.
• Establish quality KPIs, SLAs, and acceptance criteria aligned with NVIDIA requirements.
• Develop and track quality OKRs, ensuring alignment with program goals.
• Design and implement quality assurance frameworks, including audits, sampling methodologies, and validation processes.
• Monitor and report on quality metrics; conduct RCA and implement CAPA; drive continuous improvement.

Connaissances

Analytical mindset

RCA & CAPA

Stakeholder communication

Quality systems

Cross-functional leadership

Description du poste

Welocalize, Inc. seeks a Robotics Data Quality Lead to define and drive quality standards across robotics data collection and annotation workflows for AI model training.

You will partner with program and workflow managers to establish scalable QA frameworks and serve as the primary quality contact for stakeholders. The role involves owning quality strategy, setting KPIs/OKRs, and guiding prevention actions while ensuring high-quality outputs from teleoperation, sensor, video, and labeling