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Part Time - Teaching Assistant - AI and ML (Tamil)

Roles & Responsibilities

  • Minimum 2+ years of hands-on experience in Artificial Intelligence / Machine Learning
  • Strong coding skills in Python
  • Solid understanding of data preprocessing and feature engineering
  • Hands-on experience with NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch

Requirements:

  • Doubt-Solving and Tutorial Sessions in Tamil, including explaining AI/ML concepts, assignments, and coding challenges; reinforce learning from faculty-led sessions
  • QA and Discussion Forum Support: provide timely and accurate responses on discussion forums, chats, and LMS; assist learners with Python programming, ML pipelines, and debugging
  • Academic Research Support: share real-world AI/ML use cases, tools, and industry practices with learners; guide students on model building, evaluation, and improvement techniques
  • Learner Engagement and Feedback: maintain learner motivation through regular feedback and guidance; track progress and escalate concerns to cohort managers; collect insights to help improve course delivery and content relevance

Job description

Job Title: Teaching Assistant – Artificial Intelligence & Machine Learning (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 AI/ML

About the Role

Masai School, in academic collaboration with a premier institute, is seeking a Teaching Assistant (AI/ML – Tamil) to support its online Artificial Intelligence & Machine Learning program.

This role is suited for professionals who are passionate about AI/ML education, learner mentorship, and explaining technical concepts clearly in Tamil. The Teaching Assistant will help learners build strong conceptual foundations and practical ML skills.

Key Responsibilities (KRAs)

Doubt-Solving & Tutorial Sessions

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

  • Explain AI/ML concepts, assignments, and coding challenges with clarity.

  • Reinforce learning from faculty-led sessions through tutorials.

Q&A and Discussion Forum Support

  • Provide timely and accurate responses on discussion forums, chats, and LMS.

  • Assist learners with Python programming, ML pipelines, and debugging.

Academic & Research Support

  • Share real-world AI/ML use cases, tools, and industry practices with learners.

  • Guide students on model building, evaluation, and improvement techniques.

Learner Engagement & Feedback

  • Maintain learner motivation through regular feedback and guidance.

  • Track progress and escalate concerns to cohort managers.

  • Collect insights to help improve course delivery and content relevance.

Candidate Requirements

Must-Have

  • Minimum 2+ years of hands-on experience in Artificial Intelligence / Machine Learning

  • Solid understanding of:

    • Data preprocessing and feature engineering

    • Supervised and unsupervised learning methods

    • Model evaluation metrics

    • Basics of deep learning

  • Strong coding skills in Python

  • Hands-on experience with:

    • NumPy, Pandas

    • Scikit-learn

    • TensorFlow or PyTorch

  • Prior experience in teaching, mentoring, or academic support roles

  • Comfort in mentoring learners and explaining ML concepts in Tamil (spoken )

Good to Have

  • Exposure to ML deployment or production workflows

  • Experience with Jupyter, Git, and LMS platforms

  • Educational background from a reputed technical institute or AI/ML program

Engagement Details

  • Time Commitment: 6–8 hours per week

  • Mode: Fully remote (online)

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

Why Join Us

  • Collaborate with Masai School and a premier academic institute

  • Make a direct impact on learner outcomes in regional languages

  • Stay engaged with current AI/ML technologies and practices

  • Flexible, remote, part-time engagement with meaningful outcomes

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