Expert Team Lead, Medicine

Jobgether SRL; Ireland; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Remote work where permitted

Equity opportunities

Medical, dental, and vision coverage

401(k) retirement plan (US)

Job summary

Jobgether SRL is seeking an Expert Team Lead, Medicine in Ireland to lead a team producing high-quality medical-domain training data and evaluations. You will combine clinical expertise with leadership, coaching, and operational excellence to set and enforce data-quality standards at scale.

You will collaborate with Human Data and Engineering teams to translate model requirements into labeling strategies, monitor KPIs, and drive continuous improvement while developing a high-accountability team

Qualifications

• Hands-on data labeling or AI training experience in a medical domain.
• Understanding of AI concepts and how data quality affects models.
• Clinical degree or related medical/health discipline required.
• 5+ years of relevant professional experience may substitute for a degree.
• Previous people-management or team-leadership experience preferred.
• Experience with distributed teams and KPI-driven improvements.
• Familiarity with project tools like Notion, JIRA, Linear.

Responsibilities

• Own end-to-end quality and delivery for data projects, reviewing medical-domain data.
• Lead, coach, and manage AI Tutors with performance reviews and training.
• Participate in labeling/review activities to maintain high standards.
• Maintain QA processes, taxonomy, and adherence to guidelines.
• Identify bottlenecks and implement process improvements.
• Track performance with KPI dashboards (quality, throughput, send-back rates).
• Collaborate with Human Data Managers and Engineering on labeling strategies.
• Support talent development and uphold accountability in a high-performance culture.
• Document outcomes, recommend process improvements, and report status.
• Represent AI Tutors’ needs across the Human Data organization.
• Manage multiple priorities in a fast-paced, evolving environment.

Skills

Data labeling

AI training

Quality assurance

Team leadership

Performance management

Notion

JIRA

Cross-functional collaboration

SQL basics

Education

Bachelor's degree in medicine

MD/DO/MBBS or equivalent

5+ years relevant experience in lieu of degree

Tools

Notion

Axiom

JIRA

Linear

Job description

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 Ireland. 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.

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.