Robotics Collection Lead

Welocalize, Inc; California; On-site; USD 120,000 - 180,000; Full time

Job summary

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.

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, 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.

Skills

Analytical mindset

RCA & CAPA

Stakeholder communication

Quality systems

Cross-functional leadership

Job description

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 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 overall program goals
• Proactively identify risks and implement preventative quality measures

Quality Operations & Execution

• Design and implement quality assurance frameworks, including audits, sampling methodologies, and validation processes
• Oversee daily quality performance, ensuring consistency across operators, moderators, and workflows
• Partner with Workflow Managers to ensure task 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 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 training
• Identify opportunities to improve efficiency without compromising quality

Team Leadership & Enablement

• Lead and mentor a team of Robotics Quality Specialists
• Define training programs and onboarding for new quality team members
• Provide coaching and performance management for direct reports
• Promote a quality-first culture across all operational layers

Client & Stakeholder Engagement

• Serve as the primary escalation point for quality-related issues
• Interface directly with NVIDIA stakeholders on: Quality performance Reporting and insights Escalations and resolution plans Prepare and present regular quality reports and business reviews Anticipate client needs and proactively recommend improvements

Process, Documentation & Compliance

• Maintain and evolve quality documentation, including guidelines, SOPs, and evaluation frameworks
• Ensure alignment with safety and compliance standards in robotics environments
• Support cross-functional collaboration with: Safety & Compliance teams Program leadership Engineering / client teams

Requirements

Experience

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

Core Skills

• Strong analytical mindset with ability to interpret and act on data
• Experience with RCA, 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 across complex, multi-layered workflows
• Strong leadership, coaching, and team development skills
• Customer-centric approach with proactive problem solving

Additional Job Details

Welocalize is a leading technology-enabled provider of translation, localization, and AI-driven content solutions, helping businesses communicate, innovate, and grow globally. Specializing in complex and regulated industries, Welocalize delivers precise, scalable multilingual content through a powerful combination of advanced AI technologies and expert human talent. At the core is Welocalize’s AI-enabled OPAL platform, which transforms translation workflows by integrating machine translation (MT) and large language models (LLMs) to provide fast, accurate, and culturally relevant content in over 300 languages. With a commitment to excellence, Welocalize holds 7 ISO certifications. Welocalize is headquartered in New York with offices all over the globe.