Expert Team Lead, Medicine

Jobgether SRL; United States; Remote; USD 104,000 - 170,000; Full time

Benefits offered by this job

Remote work options

Equity opportunities

401(k) plan

Job summary

Jobgether SRL is hiring for a leadership role overseeing Human Data projects in a data-intensive AI environment. You will guide a distributed team of AI Tutors, ensure high-quality data labeling, and continuously optimize processes to meet strict clinical-data standards.

The role emphasizes coaching, performance management, and collaboration with data managers and engineering to translate model requirements into actionable labeling guidelines.

Qualifications

• Experience in data labeling, AI training or evaluation in a clinical/medical domain.
• Understanding of AI/ML concepts and their impact on data quality.
• Bachelor’s or higher in medicine or related discipline; or 5+ years of relevant work.
• Clinical data workflows familiarity (labs, imaging, EHR, etc.).
• Past people management or team-lead experience preferred.

Responsibilities

• Own end-to-end quality and delivery for assigned Human Data projects.
• Lead and coach a team of AI Tutors with performance reviews.
• Participate in labeling and review activities to maintain high standards.
• Maintain QA processes, taxonomy management, and guidelines.
• Identify bottlenecks and implement process improvements.
• Track performance via KPI dashboards for quality and throughput.

Skills

Data labeling

AI training

Performance coaching

Analytical KPIs

SQL knowledge

Education

Bachelor's degree in medicine or related field

MD/DO/PhD or equivalent

5+ years of relevant experience (in lieu of degree)

Tools

Notion

Axiom

JIRA

Linear

Job description

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.