Robotics Collection Lead

Welocalize•San Francisco, CA

About The Position

The Robotics Data Quality Lead defines, implements, and continually improves quality standards across robotics data collection workflows. The role ensures collected video, sensor data, teleoperation outputs, and annotations meet client-defined accuracy, consistency, and usability requirements for AI model training. Working with the Robotics Program Manager and Workflow Managers, the lead drives quality strategy, establishes scalable quality assurance frameworks, and serves as the primary stakeholder contact for quality matters. The position oversees quality strategy and operations, monitors performance, investigates quality issues, and leads corrective and preventive improvements. It also leads and develops Robotics Quality Specialists, engages directly with NVIDIA stakeholders, and maintains quality documentation while supporting alignment with robotics safety and compliance standards.

Requirements

Experience managing quality in large-scale data operations, robotics, AI/ML, or similar environments.
Proven ability to lead cross-functional teams in fast-paced, client-facing settings.
Strong background in quality frameworks, process improvement, and data-driven decision making.
Strong analytical ability to interpret data and act on findings.
Experience with root cause analysis, corrective and preventive actions, and continuous improvement methodologies.
Excellent communication skills and ability to influence stakeholders.
Ability to manage multiple priorities and drive outcomes under tight timelines.
High attention to detail and focus on scalable quality systems.
Strategic thinking combined with strong execution focus.
Ownership mindset and accountability for outcomes.
Ability to drive quality across complex, multi-layered workflows.
Strong leadership, coaching, and team development skills.
Customer-centric approach and proactive problem solving.

Nice To Haves

Experience with robotics workflows, teleoperation, or sensor-based data collection.

Responsibilities

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 aligned with program goals.
Identify quality risks and implement preventative measures.
Design and implement quality assurance frameworks, including audits, sampling methodologies, and validation processes.
Oversee daily quality performance across operators, moderators, and workflows.
Partner with Workflow Managers to align task instructions and execution with quality standards.
Ensure quality outputs for teleoperation sessions, robotics interaction data, sensor and video capture, and annotation and labeling.
Monitor and report on quality metrics, including accuracy, consistency, error rates, and throughput impact.
Conduct root cause analysis on quality issues and implement corrective and preventive actions.
Drive continuous improvement across tools, workflows, and training, and identify efficiency improvements without compromising quality.
Lead and mentor Robotics Quality Specialists; define training and onboarding, coach team members, and manage performance.
Promote a quality-first culture across operational layers.
Serve as the primary escalation point for quality issues and interface with NVIDIA stakeholders on performance, reporting, insights, escalations, and resolution plans.
Prepare and present regular quality reports and business reviews, anticipate client needs, and recommend improvements.
Maintain and evolve quality guidelines, SOPs, and evaluation frameworks.
Ensure alignment with safety and compliance standards in robotics environments.
Collaborate with Safety & Compliance teams, program leadership, and engineering and client teams.