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Salary
≈ $50k – $101k per year (Estimated)
Location
In office (United States)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, Welo Data leverages over 25 years of experience in partnering with the world's most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:- Annotation and Labeling: Transcription, summarization, image and video classification and labeling.- Enhancing LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.- Data Collection and Generation: From institutional languages to remote field audio collection.- Relevance and Intent: Authoritative relevance solutions across any discovery target, with mature operating models and a highly trained global workforce.- The Welo Data advisory team members bring practical, applied AI expertise to your projects. They have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices.

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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 theend-to-end data quality strategy across robotics data collection and annotation workflows
  • Establishquality KPIs, SLAs, and acceptance criteria aligned with NVIDIA requirements
  • Develop and trackquality OKRs, ensuring alignment with overall program goals
  • Proactively identify risks and implementpreventative quality measures

Quality Operations & Execution

  • Design and implementquality assurance frameworks, including audits, sampling methodologies, and validation processes
  • Overseedaily quality performance, ensuring consistency across operators, moderators, and workflows
  • Partner with Workflow Managers to ensuretask 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)
  • Drivecontinuous improvement initiatives across tools, workflows, and training
  • Identify opportunities to improve efficiency without compromising quality

Team Leadership & Enablement

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

Client & Stakeholder Engagement

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

Process, Documentation & Compliance

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

Requirements

Experience

  • Experience managing quality inlarge-scale data operations, robotics, AI/ML, or similar environments
  • Proven ability to leadcross-functional teams in fast-paced, client-facing settings
  • Strong background inquality frameworks, process improvement, and data-driven decision making
  • Experience withrobotics workflows, teleoperation, or sensor-based data collection preferred

Core Skills

  • Strong analytical mindset with ability to interpret and act on data
  • Experience withRCA, 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:

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