Expert Team Lead, SWE at SpaceXSI
- Remote.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: You will lead a team of AI Tutors (full-time employees and contractors) responsible for delivering high-quality training data and evaluations that power SpaceXSI'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 is a hands-on leadership role — you will both execute labeling/review work and continuously improve processes as we scale. 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. BASIC QUALIFICATIONS: 1+ years of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains. Professional experience building scalable, high-performance technology applications. Demonstrated experience with data quality metrics, annotation processes, and guideline-driven workflows (as evidenced by prior roles or projects). Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance. Experience with performance management, coaching, training program development, and certification frameworks. PREFERRED SKILLS AND EXPERIENCE: Previous experience leading small teams in data labeling, annotation, or related operations. 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. Proficiency in data analysis and associated tools (SQL a plus); ability to use metrics and KPIs to drive continuous improvement. …