Job Title: Teaching Assistant – Software Development with Applied AI (Hindi)

Institution: Masai School, in academic collaboration with a premier institute
Course Format: Online
Engagement Type: Part-time
Time Commitment: 6–8 hours per week
Location: Remote (India)
Instruction Language: Hindi
Experience Required: Minimum 2 years in Software Development / Applied AI

About the Role

Masai School, in academic collaboration with a premier institute, is seeking a Teaching Assistant (Software Development with Applied AI – Hindi) to support learners enrolled in an industry-aligned program focused on programming fundamentals, full-stack development, and AI-powered software features.

The Teaching Assistant will play a key role in doubt resolution, tutorial support, Q&A moderation, and project guidance, ensuring learners can apply concepts taught by faculty to real-world, AI-integrated software projects.

Key Responsibilities (KRAs)

1. Doubt-Solving & Q&A Support

• Conduct weekly doubt-solving and Q&A sessions in Hindi.

• Address learner questions related to:

  • Python programming & problem-solving

  • DSA fundamentals (arrays, strings, hashmaps, searching, sorting)

  • AI-assisted problem solving using GenAI tools

• Provide clear, step-by-step explanations aligned with course content.

2. Tutorial Sessions & Concept Reinforcement

• Conduct tutorial sessions to reinforce faculty-led lectures.

• Break down complex topics such as:

  • Code logic, loops, and structured thinking

  • How the web works (HTTP, APIs, JSON)

  • Backend fundamentals using FastAPI

• Help learners translate theory into working code.

3. Assignment, Lab & Project Support

• Assist learners with:

  • Programming and DSA assignments

  • Frontend tasks (HTML, CSS, JavaScript)

  • Backend APIs, databases, and CRUD operations

• Support GenAI Coding Labs, helping learners:

  • Use AI to understand algorithms

  • Generate pseudocode and debug code

  • Draft API documentation using AI tools

• Review assignments and provide actionable feedback.

4. Capstone & Applied AI Guidance

• Support learners building full-stack capstone projects.

• Guide learners in integrating:

  • Databases with backend services

  • LLM-powered features (summarization, rewriting, suggestions)

• Assist with prompt design, context engineering, and safe AI usage.

• Help learners understand LLD & basic system design concepts.

5. Learner Engagement & Academic Coordination

• Track learner progress and participation.

• Encourage engagement through continuous feedback and follow-ups.

• Shadow faculty sessions and align tutorial support accordingly.

• Escalate academic blockers to cohort managers.

• Share learner feedback with academic and product teams.

Candidate Requirements

Must-Have

• 2+ years of experience in Software Development or Applied AI

• Strong programming skills in Python

• Working knowledge of:

  • DSA fundamentals

  • REST APIs & FastAPI

  • SQL & relational databases

• Exposure to LLM or AI API usage in applications

• Prior experience in teaching, mentoring, or TA roles

• Fluency in Hindi (spoken & written)

Good to Have

• Experience with frontend basics (HTML, CSS, JavaScript)

• Familiarity with Git, GitHub, Jupyter, and LMS platforms

• Experience with AI-assisted development workflows

Engagement Details

• Time Commitment: 6–8 hours per week

• Mode: Fully remote

• Compensation: ₹8,000 – ₹10,000 per month

Why Join Us

• Work with Masai School and a premier academic partner

• Mentor learners building AI-first software systems

• Gain exposure to modern GenAI-powered development practices

• Flexible, remote engagement with meaningful learner impact