Expert Team Lead, Medicine

Lever, Inc.; India; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Competitive salary

Equity opportunities

Medical, dental, vision coverage

401(k) where applicable

Remote work where permitted

Job summary

Lever, Inc. is seeking an Expert Team Lead, Medicine in India to head a team delivering high-quality medical training data for AI systems. You will combine medical expertise with leadership, QA, and scalable data operations.

You will review domain-specific work, set accuracy standards, coach AI Tutors, and align labeling strategies with model requirements and KPIs.

Qualifications

• Hands-on data labeling, annotation, AI training or evaluation experience.
• Experience maintaining data quality and process improvements.
• Clinical/medical background preferred.

Responsibilities

• Own end-to-end quality and delivery for assigned Human Data projects, reviewing medical-domain work and ensuring accuracy and guidelines.
• Lead, coach, and performance-manage a team of AI Tutors with regular reviews and training.
• Participate in labeling and review activities to uphold high standards.

Skills

Data labeling

People management

Quality assurance

KPIs & analytics

Education

MBBS/MD or clinical doctorate

MPH / MHA (optional)

Bachelor's degree in medicine

5+ years alternative experience

Tools

Notion

JIRA

Axiom

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 India.

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.