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

Roles & Responsibilities

  • Minimum 2+ years experience in Software Development or Applied AI
  • Strong Python programming
  • Solid understanding of data structures, algorithms, REST APIs, and relational databases
  • Prior teaching, mentoring, or TA experience with ability to explain concepts in Tamil

Requirements:

  • Conduct weekly Tamil-language doubt-solving/QA sessions with step-by-step explanations
  • Lead Tamil tutorial sessions to reinforce web technologies and backend concepts (HTML/CSS/JS, FastAPI) and ensure working code
  • Provide GenAI coding support for assignments/labs, including AI-assisted debugging and API documentation
  • Guide backend/data architecture, capstone project mentoring, and overall learner progress (REST APIs with FastAPI, data validation, DB design)

Job description

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

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: Tamil
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 – Tamil) to support learners enrolled in a hands-on program focused on programming fundamentals, full-stack development, and AI-powered software features.

The Teaching Assistant will be responsible for Q&A support, doubt-solving sessions, tutorial facilitation, assignment guidance, and capstone mentoring, helping learners confidently build production-ready, AI-integrated software applications.

Key Responsibilities (KRAs)

1. Doubt-Solving & Q&A Sessions

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

  • Resolve learner queries related to:

    • Python programming fundamentals and clean coding practices

    • Logical thinking, loops, and structured problem solving

    • Data Structures (arrays, strings, lists, dictionaries, hashmaps)

    • Searching and sorting algorithms with intuition and complexity

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

2. Tutorial Sessions & Concept Reinforcement

  • Conduct tutorial sessions in Tamil to reinforce faculty-led classes.

  • Help learners understand:

    • How the web works (client-server model, HTTP methods, status codes, JSON)

    • Frontend fundamentals using HTML, CSS, and JavaScript

    • Backend development concepts using FastAPI

  • Ensure learners can translate theory into functional, working code.

3. Assignment, Lab & GenAI Coding Support

  • Support learners with:

    • Programming and DSA assignments

    • Frontend interactivity and API communication

    • Backend API creation, validation, and CRUD operations

  • Assist learners during GenAI Coding Labs, including:

    • Using AI tools to understand DSA intuition

    • Generating pseudocode and debugging logic

    • Creating API documentation with AI assistance

  • Review submissions and provide structured, actionable feedback.

4. Backend, Data & Architecture Guidance

  • Guide learners in:

    • Building REST APIs using FastAPI

    • Applying Pydantic for data validation

    • Designing relational databases and schemas

    • Writing SQL queries and integrating databases using ORMs

  • Explain low-level design (LLD) concepts and basic backend architecture.

5. Applied AI & Capstone Project Support

  • Support learners in building LLM-powered backend features such as summarization or rewriting APIs.

  • Guide learners on:

    • LLM fundamentals (tokens, context windows, hallucinations)

    • Prompt design and context engineering

    • Safe and reliable AI usage in software applications

  • Mentor learners through full-stack capstone projects integrating frontend, backend, database, and AI features.

6. Learner Engagement & Academic Coordination

  • Track learner engagement and academic progress.

  • Encourage consistent participation 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

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

  • Strong programming skills in Python

  • Solid understanding of:

    • Data Structures & Algorithms

    • REST APIs and backend development

    • SQL and relational databases

  • Exposure to AI/LLM API integration in applications

  • Prior experience in teaching, mentoring, or TA roles

  • Comfort mentoring learners and explaining technical concepts in Tamil (spoken & written)

Good to Have

  • Frontend basics (HTML, CSS, JavaScript)

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

  • Familiarity with AI-assisted development workflows

Engagement Details

  • Time Commitment: 6–8 hours per week

  • Mode: Fully remote (online)

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

Why Join Us

  • Work with Masai School and a premier academic institute

  • Mentor learners building AI-first software products

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

  • Flexible, remote, part-time engagement with meaningful learner impact

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