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Job Title : Team Lead for STEM Data (Math, Physics, Chemistry,

Biology)

Role Overview :

The Team Lead for STEM (Math, Physics, Chemistry, Biology) plays a pivotal role that

bridges deep academic expertise with AI fine-tuning applications. In this hands-on leadership

role, you will guide a team of Subject Matter Experts (SMEs) in creating high-quality data that

shapes the AI models, ensuring accuracy, clarity, and pedagogical effectiveness. Your work will

impact millions of learners, making this a unique opportunity to drive education through

technology at scale.

Key Responsibilities :

• Team Leadership & Management :

○ Define project scope and data creation requirements in collaboration with

research and engineering teams.

○ Efficiently allocate resources, assign tasks, and guide SMEs, fostering a

collaborative and high-performance culture.

○ Conduct final quality assurance to ensure consistency and adherence to the

highest standards.

○ Set clear performance goals, track KPIs for productivity, data quality, and project

timelines, and provide feedback.

○ Onboard and train new SMEs on quality guidelines, tools, and AI fine-tuning

methodologies.

○ Act as the ultimate authority for content accuracy in Math, Physics, Chemistry,

and Biology, from foundational concepts to advanced topics.

○ Develop, refine, and enforce quality rubrics and style guides for AI responses,

ensuring accuracy, clarity, and pedagogical effectiveness.

○ Collaborate with AI / ML engineering teams to translate subject nuances into

actionable feedback for model improvement.

○ Analyze AI model performance in STEM queries, identifying weaknesses or

recurring error patterns and addressing them.

○ Design sophisticated evaluation datasets to benchmark AI progress and

accuracy in STEM subjects.

○ Act as the primary liaison between your subject team and other departments,

including Product Management, Engineering, and Analytics.

○ Communicate complex STEM-related challenges and requirements clearly to

non-experts and contribute to the AI’s STEM strategy.

Required Qualifications & Experience :

related fields is preferred. A Master’s degree (M.Sc. / M.Tech) from a premier institution

(e.g., IIT, NIT, IISc) with an exceptional academic record is the minimum requirement.

for competitive exams like JEE Mains & Advanced and major

undergraduate / postgraduate curricula.

research, or content development experience, with significant experience in teaching for

competitive exams (e.g., JEE Mains / Advanced) being a plus.

roles, managing teams of academics, content creators, or researchers.

ability to articulate complex concepts simply and effectively.

Preferred Qualifications :

especially focused on AI-driven learning.

textbooks / study materials.

and model performance.

Personal Attributes & Soft Skills :

makes learning engaging and effective.

components and devise effective solutions.

new ideas, especially at the intersection of academia and technology.