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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 :
○ 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.
Stem • Mangalore, IN