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Part Time - Teaching Assistant - Software Development with AI (Telugu)

Role overview

Qualifications

  • 2+ years of experience in Software Development or Applied AI
  • Strong programming skills in Python
  • Working knowledge of DSA fundamentals
  • Prior experience in teaching, mentoring, or TA roles

Responsibilities

  • Conduct weekly doubt-solving and QA sessions in Telugu
  • Conduct tutorial sessions to reinforce faculty-led lectures
  • Support learners with programming and DSA assignments
  • Mentor learners during full-stack capstone projects

About the company

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Masai

On a mission to make tech careers accessible to everyone, no matter their financial or educational backgrounds.

Company details

Company size201 - 500

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Job description

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

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: Telugu
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 – Telugu) 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, Q&A moderation, tutorial sessions, and project guidance, helping learners translate theory into production-ready, AI-integrated software applications.

Key Responsibilities (KRAs)

1. Doubt-Solving & Q&A Support

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

  • Address learner questions related to:

    • Python programming and logical problem-solving

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

    • AI-assisted problem solving using GenAI tools

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

2. Tutorial Sessions & Concept Reinforcement

  • Conduct tutorial sessions to reinforce faculty-led lectures.

  • Help learners understand:

    • Code logic, loops, and structured thinking

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

    • Backend fundamentals using FastAPI

  • Ensure learners can apply concepts through hands-on practice.

3. Assignment, Lab & Project Support

  • Support learners with:

    • Programming and DSA assignments

    • Frontend tasks (HTML, CSS, JavaScript)

    • Backend APIs, databases, and CRUD operations

  • Assist learners during GenAI Coding Labs, helping them:

    • Use AI to understand algorithms and logic

    • Generate pseudocode and debug code

    • Draft API documentation using AI tools

  • Review assignments and provide actionable feedback.

4. Capstone & Applied AI Guidance

  • Mentor learners during full-stack capstone projects.

  • Guide integration of:

    • Frontend, backend, and databases

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

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

  • Help learners understand LLD basics and simple system design concepts.

5. Learner Engagement & Academic Coordination

  • Track learner progress and participation.

  • Encourage consistent engagement through 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

  • Strong technical communication skills in Telugu (spoken & written)

Good to Have

  • 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

  • Stay hands-on with modern GenAI-powered development practices

  • Flexible, remote engagement with meaningful learner impact

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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