Expert Team Lead, Medicine

Accountabilities

• • Own end-to-end quality and delivery for assigned Human Data projects, personally reviewing medical-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 through regular performance reviews, action plans, shadow sessions, training, and continuous improvement initiatives.

  • Actively participate in labeling and review activities to maintain high standards and demonstrate best practices.

  • Maintain robust quality assurance processes, taxonomy management, and adherence to project guidelines.

  • Identify operational bottlenecks and implement process improvements to increase efficiency and quality.

  • Track team and project performance through KPI dashboards, monitoring metrics such as quality, throughput, and send-back rates.

  • Collaborate with Human Data Managers, other Team Leads, and Engineering to translate AI model requirements into clear labeling strategies and operational guidelines.

  • Support talent development while maintaining accountability and a high-performance culture, including participation in disciplinary processes when required.

  • Document project outcomes, recommend process improvements, and communicate project status, risks, and results.

  • Represent the needs and perspectives of AI Tutors while fostering effective collaboration across the broader Human Data organization.

  • Manage multiple priorities and projects effectively in a fast-paced, evolving environment.

  Requirements

  • 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.

  Benefits

  • Competitive compensation, with international salary details provided during the recruitment process.

  • For eligible U.S.-based positions, base salary ranges from $104,000 to $170,400 USD, depending on experience, skills, education, location, and qualifications.

  • Equity opportunities as part of the overall rewards package.

  • Comprehensive medical, dental, and vision coverage, subject to employment type, location, and local regulations.

  • Access to a 401(k) retirement plan for eligible U.S.-based positions.

  • Short- and long-term disability insurance.

  • Life insurance.

  • Paid sick leave for eligible U.S.-based positions.

  • Additional employee discounts and perks.

  • Opportunity to work remotely where permitted and contribute to a globally distributed organization.

  • Opportunity to work at the intersection of medicine, human data, and advanced AI development.

  • Collaborative, high-autonomy environment focused on curiosity, engineering excellence, and continuous learning.