STEM Annotator

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.