About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Expert Team Lead, Medicine based in Australia.
Responsibilities
- 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.
Conditions
- Competitive compensation, with international salary details provided during the recruitment process.
- 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.