Post-training Team Lead na xAI

Remoto - Palo Alto, CA, United States

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You will lead a team of AI Tutors responsible for delivering high‑quality training data and evaluations that power SpaceXAI’s models. You will set the standard for data quality on your projects, review work in the domain, ensure the accuracy and consistency of the data produced, and build operational excellence at the team level. This hands‑on leadership role involves both executing labeling/review work and continuously improving processes as the organization scales.

Salary

USD 104,000 - 156,000

Requirements

Skills

  • 1+ years of hands‑on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains
  • Bachelor’s degree, or 4+ years of professional experience in lieu of a degree
  • Demonstrated experience with data quality metrics, annotation processes, and guideline‑driven workflows
  • Familiarity with project management and collaboration tools such as Notion, Axiom, JIRA, Linear, or equivalent
  • Basic understanding of AI and machine learning concepts and how high‑quality training data impacts model performance

Responsibilities

  • Own end‑to‑end quality and delivery for assigned Human Data projects
  • Lead, coach, and performance‑manage a team of AI Tutors, including conducting regular performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement
  • Oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices
  • Ensure strict guideline adherence, taxonomy management, and quality assurance processes
  • Drive efficiency by identifying and resolving operational bottlenecks, implementing process improvements, and tracking performance via KPI dashboards
  • Build, update, and deliver training materials, practice tasks, and certification benchmark tasks; manage certifications and workforce adjustments
  • Collaborate closely with Human Data Managers, fellow Team Leads, and Engineering to translate model needs into clear labeling strategies and requirements
  • Coach and develop talent while maintaining strong accountability and a high‑performance culture; support disciplinary actions as needed
  • Document outcomes, suggest process iterations, and report project status, risks, and results
  • Act as the voice of your tutors while fostering strong collaboration across the broader Human Data organization

Technologies

NotionAxiomJIRALinearSQL

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