Team Lead, Human Data Operations - Vision, Image & Video at xAI

Remote - Palo Alto, CA

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SpaceXAI is looking for a Team Lead, Human Data Operations to spearhead the vision, image, and video data team. The role involves leading a team of AI Tutors, ensuring data quality, managing operations, driving continuous improvement, and collaborating with Human Data Managers and engineering to align model needs with labeling strategies. The candidate will work remotely or from the Palo Alto office and will contribute directly to the company's mission of building AI systems that understand the universe.

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.
  • Experience with data quality metrics, annotation processes, and guideline‑driven workflows.
  • Experience with project management tools such as Notion, Axiom, JIRA, Linear, or equivalent.
  • Knowledge of AI and machine learning concepts and how high‑quality training data impacts model performance.
  • Documented quality assurance experience in creative or media projects.
  • Professional experience in a creative field, including photography, graphic design, filmmaking, video editing, or visual effects.
  • Prior experience leading small teams in data labeling, annotation, or related operations.
  • Familiarity with prompting and using AI image and video generation models.
  • Proven ability to manage multiple concurrent projects and prioritize effectively in a fast‑paced environment.
  • Strong track record of reviewing domain work, ensuring data quality, and improving operational processes.
  • Experience with performance management, coaching, training program development, and certification frameworks.
  • Proficiency in data analysis and associated tools (SQL a plus); ability to use metrics and KPIs to drive continuous improvement.
  • Experience managing distributed teams.
  • Excellent verbal and written communication skills with the ability to build rapport quickly and align stakeholders.
  • Strong organizational skills and high attention to detail.
  • Proactive problem‑solving mindset and focus on continuous improvement.
  • Strategic thinking combined with strong hands‑on execution.
  • Passion for building high‑performing teams and scaling high‑quality Human Data operations.
  • Candidates must be based in one of the following countries where SpaceXAI has a physical office; remote work is also possible: United States, Dubai, Ireland, United Kingdom, Japan, India, Indonesia, South Korea, Philippines, Singapore.

Responsibilities

  • Own end‑to‑end quality and delivery for assigned Human Data projects — personally reviewing work in the domain, ensuring accuracy, consistency, guideline adherence, and high‑quality data production at scale.
  • 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 (e.g., quality metrics, throughput, send‑back rates).
  • 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

NotionAxiomJIRALinearSQLAI image and video generation models

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