Stem Annotator

About UsMyRemoteTeam, 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 thatbridges deep academic expertise with AI fine-tuning applications. In this hands-on leadershiprole, you will guide a team of Subject Matter Experts (SMEs) in creating high-quality data thatshapes the AI models, ensuring accuracy, clarity, and pedagogical effectiveness. Your work willimpact millions of learners, making this a unique opportunity to drive education throughtechnology at scale.Key Responsibilities :

• Team Leadership & Management : ○ Define project scope and data creation requirements in collaboration withresearch and engineering teams.○ Efficiently allocate resources, assign tasks, and guide SMEs, fostering acollaborative and high-performance culture.○ Conduct final quality assurance to ensure consistency and adherence to thehighest standards.○ Set clear performance goals, track KPIs for productivity, data quality, and projecttimelines, and provide feedback.○ Onboard and train new SMEs on quality guidelines, tools, and AI fine-tuningmethodologies.
• 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 intoactionable feedback for model improvement.○ Analyze AI model performance in STEM queries, identifying weaknesses orrecurring error patterns and addressing them.○ Design sophisticated evaluation datasets to benchmark AI progress andaccuracy 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 tonon-experts and contribute to the AI’s STEM strategy.Required Qualifications & Experience :
• Educational Background : A Ph.D. in Math, Physics, Chemistry, Biology, or closelyrelated 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 syllabifor competitive exams like JEE Mains & Advanced and majorundergraduate / postgraduate curricula.
• Teaching / Academic Experience : A minimum of 7-10 years of combined teaching,research, or content development experience, with significant experience in teaching forcompetitive exams (e.G., JEE Mains / Advanced) being a plus.
• Leadership Experience : Proven experience (2+ years) in leadership or mentorshiproles, managing teams of academics, content creators, or researchers.
• Communication Skills : Exceptional written and verbal communication skills, with theability 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 oftextbooks / study materials.
• Data-Driven Mindset : Comfort with using data and analytics to evaluate content qualityand 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 whatmakes learning engaging and effective.
• Analytical Problem-Solver : Ability to break down complex problems into manageablecomponents 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 andnew ideas, especially at the intersection of academia and technology.