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

Overview

SpaceXAI is hiring a Team Lead for Human Data Operations focused on vision, image, and video. This is a hands-on leadership role where you will both review and execute labeling work while leading a team of AI Tutors responsible for high-quality training data and evaluations.

The role emphasizes data quality, operational excellence, and close collaboration with Human Data Managers, fellow Team Leads, and Engineering to turn model needs into clear labeling strategies and requirements. Candidates must be based in one of the listed countries where SpaceXAI has a physical office; remote work is also possible.

What You'll Do

• Own end-to-end quality and delivery for assigned Human Data projects.
• Personally review work in the domain to ensure accuracy, consistency, guideline adherence, and strong data quality at scale.
• Lead, coach, and performance-manage a team of AI Tutors, including regular reviews, action plans, shadow sessions, and ongoing improvement efforts.
• Participate directly in labeling and reviewing tasks to set best practices.
• Maintain strict guideline adherence, taxonomy management, and quality assurance workflows.
• Identify bottlenecks, improve processes, and track team performance using KPI dashboards such as quality, throughput, and send-back rates.
• Build and update training materials, practice tasks, and certification benchmark tasks.
• Manage certifications and workforce adjustments as needed.
• Document outcomes, report status and risks, and suggest process iterations.
• Represent the perspective of AI Tutors while supporting collaboration across the broader Human Data organization.

Requirements

• At least 1 year of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or a similar operational domain.
• 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 using project management tools such as Notion, Axiom, JIRA, Linear, or similar tools.
• Working knowledge of AI and machine learning concepts and how training data quality affects model performance.
• Documented quality assurance experience in creative or media projects.
• Strong verbal and written communication skills.
• Strong organizational skills, attention to detail, and a proactive problem-solving mindset.

Preferred Experience

• Professional experience in a creative field such as 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.
• Experience managing multiple concurrent projects and prioritizing effectively in a fast-paced environment.
• Experience with performance management, coaching, training program development, and certification frameworks.
• Proficiency in data analysis tools; SQL is a plus.
• Experience managing distributed teams.
• Ability to use metrics and KPIs to drive continuous improvement.
• Strategic thinking combined with strong hands-on execution.

Location

Applicants must be based in one of the following locations: United States, Dubai, Ireland, United Kingdom, Japan, India, Indonesia, South Korea, Philippines, or Singapore.

Compensation

US-based candidates: $104,000 - $156,000 USD depending on experience, skills, education, geographic location, and qualifications. International candidates: compensation details will be provided during the recruitment process.