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.