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Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Lead a team of AI Tutors responsible for delivering training data and evaluations for SpaceXAI’s models
- Own end-to-end quality and delivery for assigned Human Data projects
- Personally review work for accuracy, consistency, guideline adherence, and high-quality data production
- Lead, coach, and performance-manage AI Tutors, including performance reviews, records, action plans, shadow sessions, and continuous improvement
- Oversee and participate in labeling and reviewing tasks
- Manage taxonomies and quality assurance processes
- Identify and resolve operational bottlenecks and implement process improvements
- Track performance through KPI dashboards, including quality metrics, throughput, and send-back rates
- Build, update, and deliver training materials, practice tasks, and certification benchmarks
- Manage certifications and workforce adjustments
- Collaborate with Human Data Managers, Team Leads, and Engineering to translate model needs into labeling strategies and requirements
- Coach and develop talent while supporting accountability and disciplinary actions as needed
- Document outcomes and report project status, risks, and results
- Represent tutors and foster collaboration across the Human Data organization
Requirements
What you’ll need- Bachelor's degree or higher in Mechanical, Electrical, Chemical, Civil, Environmental, or a closely related engineering field
- 2+ years of professional experience in engineering practice, such as design, analysis, testing, R&D, or systems integration, OR a Master's degree or higher in an engineering or engineering-related field
- Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance
- Candidates must be based in one of the listed countries where SpaceXAI has a physical office; remote work is also possible
- Preferred: advanced degree or professional licensure (PE or FE/EIT)
- Preferred: experience with data quality metrics, annotation processes, and guideline-driven workflows
- Preferred: breadth across multiple engineering disciplines
- Preferred: experience with performance management, coaching, training program development, and certification frameworks
- Preferred: 1+ years of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains
- Preferred: professional experience building scalable, high-performance technology applications
- Preferred: previous experience leading small teams in data labeling, annotation, or related operations
- Preferred: ability to manage multiple concurrent projects and prioritize effectively
- Preferred: strong track record of reviewing domain work, ensuring data quality, and improving operational processes
- Preferred: proficiency in data analysis and associated tools; SQL is a plus
- Preferred: experience managing mixed employment types or distributed teams
- Preferred: excellent verbal and written communication skills
- Preferred: strong organizational skills, attention to detail, proactive problem-solving, and continuous improvement mindset
- Preferred: strategic thinking combined with hands-on execution
- Preferred: specialty or strong domain expertise in Finance, STEM, Coding/Software Engineering, or other technical fields
- Preferred: passion for building high-performing teams and scaling Human Data operations
Benefits
Comp & perks- Equity
- Comprehensive medical, vision, and dental coverage
- Access to a 401(k) retirement plan
- Short- and long-term disability insurance
- Life insurance
- Various other discounts and perks
- Health insurance for eligible U.S.-based positions
- Paid sick leave for eligible U.S.-based positions