STEM EdTech Lead

About Us MyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better. 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. Subject Matter Expertise & Content Strategy: 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. AI Model Fine-Tuning & Evaluation: 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. Cross-Functional Collaboration: 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: Educational Background: A Ph.D. in Math, Physics, Chemistry, Biology, or closely 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. Subject Expertise: In-depth knowledge of your subject, with expertise covering syllabi for competitive exams like JEE Mains & Advanced and major undergraduate/postgraduate curricula. Teaching/Academic Experience: A minimum of 7-10 years of combined teaching, research, or content development experience, with significant experience in teaching for competitive exams (e.g., JEE Mains/Advanced) being a plus. Leadership Experience: Proven experience (2+ years) in leadership or mentorship roles, managing teams of academics, content creators, or researchers. Communication Skills: Exceptional written and verbal communication skills, with the ability to articulate complex concepts simply and effectively. Preferred Qualifications: Ed-Tech Experience: Experience working in an educational technology company, especially focused on AI-driven learning. Published Work: A track record of publications in reputable journals or authorship of textbooks/study materials. Data-Driven Mindset: Comfort with using data and analytics to evaluate content quality and model performance. Personal Attributes & Soft Skills: Meticulous & Detail-Oriented: A sharp eye for detail with a commitment to accuracy. Pedagogical Passion: A deep passion for education and an understanding of what makes learning engaging and effective. Analytical Problem-Solver: Ability to break down complex problems into manageable components and devise effective solutions. Highly Organized: Ability to manage multiple priorities in a fast-paced environment. Collaborative & Adaptable: Excels in team environments and is open to feedback and new ideas, especially at the intersection of academia and technology.