Teaching Fellowship (AI/ML)

About this role

About the role: - Guide students through problem-solving by holding regular doubt-clearing and practice sessions - Evaluate learner code submissions and coursework, offering constructive feedback - Collaborate with the founding team to build and improve educational materials - Foster a supportive learning environment where students feel confident asking questions and exploring concepts What you'll work on: - Mentoring cohorts of learners across your chosen technical domain - Identifying knowledge gaps through assignment review and tailoring explanations accordingly - Developing course content, practice problems, and learning resources that align with student needs - Running interactive sessions that break down complex concepts into clear, actionable steps - Tracking learner progress and adjusting support strategies based on their growth What we're looking for: - Graduating in 2026 or 2027 - Strong technical foundation demonstrated through personal projects or success in competitive programming - Ability to explain technical concepts clearly to learners at various levels - Passion for education and helping others build problem-solving skills - Self-motivation and the capacity to work independently within a founding team environment Technical domains you can choose from: - Mathematics - Data Structures and Algorithms (DSA) - Competitive Programming - Machine Learning - Agentic AI - Full Stack Development - Java Spring Boot Good to know: - This is a paid fellowship lasting 6–8 months - Strong performance can lead to full-time role opportunities within the organization - You'll work closely with the founding team and contribute to curriculum development