Robotics Data Quality Lead

About Welo Data

Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai

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. 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 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

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.