Robotics Data Quality Lead

Job Description

Robotics Data Quality Lead

Location: Santa Clara, CA

• Remote
  
  

Company: Welo Data

About Welo Data: Welo Data partners with technology companies to provide high-quality, ethically sourced, relevant, diverse, and scalable datasets for AI model training. As a Welocalize brand, they leverage extensive experience and a global community of AI experts to offer services in annotation & labeling, enhancing LLMs, data collection & generation, and relevance & intent.

Job Summary

The Robotics Data Quality Lead is responsible for defining, implementing, and improving quality standards for all robotics data collection workflows. This role ensures that collected data (video, sensor, teleoperation outputs, annotations) meets client requirements for accuracy, consistency, and usability in AI model training. The lead will drive quality strategy, establish QA frameworks, and act as the main point of contact for quality-related matters.

Key Responsibilities

• Quality Strategy & Ownership: Define and own the end-to-end data quality strategy, establish quality KPIs, SLAs, and acceptance criteria, and develop and track quality OKRs.
• Quality Operations & Execution: Design and implement QA frameworks, oversee daily quality performance, and ensure high-quality outputs across teleoperation sessions, robotics interaction data, sensor/video capture, and annotation/labeling.
• Performance Monitoring & Continuous Improvement: Monitor and report on quality metrics, conduct root cause analysis, and drive continuous improvement initiatives.
• Team Leadership & Enablement: Lead and mentor Robotics Quality Specialists, define training programs, and promote a quality-first culture.
• Client & Stakeholder Engagement: Serve as the primary escalation point for quality issues and interface with stakeholders on performance, reporting, and resolutions.
• Process, Documentation & Compliance: Maintain quality documentation and ensure alignment with safety and compliance standards.
  
  

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 is preferred.
  
  

Core Skills

• Strong analytical mindset.
• Experience with RCA, CAPA, and continuous improvement methodologies.
• Excellent communication and influencing skills.
• 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 a strong execution focus.
• Ownership mindset and accountability.
• Ability to drive quality across complex, multi-layered workflows.
• Strong leadership, coaching, and team development skills.
• Customer-centric approach with proactive problem solving.
  
  

Note: AI tools may be used to assist in the hiring process, but final decisions are made by humans.