Expert Team Lead, Medicine

Details

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 medicine domain, ensure the accuracy and consistency of produced data, and build operational excellence at the team level. This is a hands-on leadership role involving labeling and review work as well as continuous process improvement.

Responsibilities

• Own end-to-end quality and delivery for assigned Human Data projects by personally reviewing domain work and 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.
• Identify and resolve operational bottlenecks, implement process improvements, and track performance using KPI dashboards, including quality metrics, throughput, and send-back rates.
• Collaborate 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 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 AI Tutors while fostering collaboration across the broader Human Data organization.

Requirements

Basic Qualifications

• At least 8 months of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or similar operational domains.
• Basic understanding of artificial intelligence 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, such as medicine, nursing, public health, health administration, or biomedical engineering. Graduate degrees such as MPH or MHA are included; 5+ years of experience may be accepted in lieu of a degree.

Preferred Skills and Experience

• Previous people leadership experience.
• Medical Doctorate (MD, DO, MBBS, or equivalent physician qualification) or another completed clinical doctoral degree, such as PharmD, DDS, or certain PhDs.
• Residency or postgraduate clinical experience, and familiarity with clinical data and workflows, including laboratory results, medical imaging, electronic health records (EHRs), and clinical documentation.
• Ability to manage multiple concurrent projects and prioritize effectively in a fast-paced environment.
• Strong 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 is a plus. Ability to use metrics and KPIs to drive continuous improvement.
• Experience managing mixed employment types, including full-time employees and contractors, or distributed teams.
• Excellent verbal and written communication skills, with the ability to build rapport quickly and align stakeholders.
• Familiarity with project management and collaboration tools such as Notion, Axiom, JIRA, Linear, or equivalent.
• Strong organizational skills, attention to detail, proactive problem-solving, and a 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.

Additional Requirements

Candidates must be based in a country where SpaceXAI has a physical office; remote work is also possible. Listed countries include the United States, United Arab Emirates, Ireland, the United Kingdom, Japan, India, Indonesia, South Korea, the Philippines, and Singapore.

Compensation and Benefits

US-based candidates: $104,000–$170,400 USD, depending on relevant experience, skills, education, geographic location, and qualifications. Compensation information for international candidates will be provided during the recruitment process.

The total rewards package includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short- and long-term disability insurance, life insurance, discounts, and other perks. Benefits vary based on employment type, location, and jurisdiction. Eligible US-based positions include health insurance, a 401(k) plan, and paid sick leave. Specific details will be provided during the interview process.