Expert Team Lead, Medicine

As an Expert Team Lead, Medicine, you will lead a team responsible for producing high-quality training data and evaluations that support advanced AI systems. You will combine hands-on medical expertise with people leadership, quality assurance, and operational excellence. The role involves personally reviewing domain-specific work while setting clear standards for accuracy, consistency, and guideline adherence. You will coach and develop AI Tutors, manage performance, and build a high-accountability team culture. Working closely with Human Data and Engineering teams, you will translate model requirements into effective data and labeling strategies. You will also use operational metrics to identify bottlenecks, improve processes, and scale high-quality human data operations. This is an opportunity to contribute directly to the development of sophisticated AI systems while applying your clinical or medical knowledge at scale.

• At least 8 months of hands-on experience in data labeling, annotation, AI training or evaluation, content quality, or a similar operational environment.

• Basic understanding of artificial intelligence and machine learning concepts, particularly how high-quality training data influences model performance.

• Bachelor's degree or higher in medicine or a clinical/medicine-adjacent discipline such as medicine, nursing, public health, health administration, or biomedical engineering; relevant graduate degrees such as an MPH or MHA are also applicable.

• Alternatively, 5+ years of relevant professional experience may be considered in place of a degree.

• Previous people-management or team-leadership experience is preferred.

• Medical Doctorate (MD, DO, MBBS, or equivalent) or another completed clinical doctoral qualification, such as PharmD, DDS, or certain PhDs, is highly desirable.

• Residency or postgraduate clinical experience is a plus, as is familiarity with clinical data and workflows involving laboratory results, medical imaging, electronic health records, and clinical documentation.

• Demonstrated ability to review domain-specific work, maintain high data-quality standards, and improve operational processes.

• Experience with performance management, coaching, training programs, or certification frameworks.

• Strong analytical capabilities and experience using data and KPIs to drive operational improvements; SQL knowledge is a plus.

• Experience managing distributed teams or teams comprising different employment types, including employees and contractors.

• Excellent written and verbal communication skills, with the ability to build relationships, communicate clearly, and align diverse stakeholders.

• Familiarity with project management and collaboration tools such as Notion, Axiom, JIRA, Linear, or equivalent platforms.

• Strong organizational skills, attention to detail, proactive problem-solving abilities, and a continuous-improvement mindset.

• Ability to combine strategic thinking with hands-on execution and maintain high standards in a rapidly changing environment.

• Passion for developing high-performing teams and scaling reliable, high-quality Human Data operations.