Mathematics Academic Content Specialist

About the Role

Pragya is an AI-powered learning platform for school students. This role involves developing and reviewing Mathematics content across the full school curriculum for Classes 6 to 12, covering CBSE, ICSE/ISC, and relevant Pre-University syllabi. The role requires confidence with foundational concepts through higher-secondary mathematics. The focus is on ensuring accuracy, clear explanations, and useful practice, helping students understand reasoning and apply it confidently.

Key Responsibilities

• Create and review lessons, worked examples, practice questions, and solutions.
• Check mathematical accuracy and alignment with board curricula and marking expectations.
• Explain concepts in clear English and address common student misconceptions.
• Review interactive activities and AI-generated content, suggest improvements, and verify corrections.
• Improve examples, hints, and feedback to help students work through misconceptions.
• Develop questions at different difficulty levels and independently verify solutions.
• Record issues with precise locations and proposed corrections, prioritize significant errors, and check completed fixes.
• Use curriculum references and marking schemes to verify content, and flag unresolved questions for further review.
• Support product demonstrations and academic discussions with teachers as needed.

Requirements & Tech Stack

• Mathematics across Classes 6 to 12, with the ability to explain ideas at an appropriate level for each grade.
• Clear spoken and written English, with the ability to make difficult ideas understandable.
• Confidence using digital learning platforms, spreadsheets, and online tools.
• Careful attention to detail and willingness to learn, verify work, and respond to feedback.
• Ability to verify AI-generated explanations and identify plausible errors.
• Familiarity with LaTeX, GeoGebra, Desmos, or similar tools is an advantage.

Qualifications

• A master's degree in Mathematics, Applied Mathematics, or a closely related field.
• 0 to 3 years of relevant experience.
• Fresh postgraduates with strong subject knowledge and teaching potential are welcome.
• Tutoring, mentoring, teaching-assistant work, or academic content development is helpful.
• A B.Ed. or other teaching qualification is an advantage.

Selection Process

Shortlisted candidates will undergo an initial conversation, a practical content review, and an interview. Assessment will cover mathematical understanding, teaching clarity, written English, and platform confidence, including a short explanation and discussion of reasoning and corrections.