Expert Team Lead, Medicine

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: 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 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). - 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: - 8 months or more of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains. - Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance. - Bachelor’s degree or higher in a clinical or medicine-adjacent field (e. g. , medicine, nursing, public health, health administration, biomedical engineering), including graduate degrees such as MPH or MHA, or 5+ years of experience in lieu of a degree. PREFERRED SKILLS AND EXPERIENCE: - Previous people leadership experience. - Medical Doctorate (MD, DO, MBBS, or equivalent physician qualification) or other completed clinical doctoral degrees (eg PharmD, DDS, certain PhDs). - Residency or postgraduate clinical experience is a plus, as is familiarity with clinical data and workflows, including laboratory results, medical imaging, electronic health records (EHRs), and clinical documentation. - 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.