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

Roles & Responsibilities

  • 2+ years of hands-on experience in Artificial Intelligence / Machine Learning
  • Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn) and frameworks (TensorFlow or PyTorch)
  • Prior experience in teaching, mentoring, or academic support
  • Fluency in Hindi

Requirements:

  • Conduct and moderate weekly doubt-solving and QA sessions in Hindi, explaining AI/ML concepts, assignments, and coding problems
  • Provide timely QA and discussion forum support by responding to learner queries via forums, chats, or LMS and assist learners in debugging Python code and ML workflows
  • Support the academic team with real-world AI/ML use cases, tools, and trends, helping learners understand practical trade-offs in model selection and evaluation
  • Track learner progress, provide continuous feedback, escalate blockers to cohort managers, and share learner feedback to improve content clarity and course delivery

Job description

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

About the Role

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

This role is ideal for professionals who are passionate about AI/ML education, mentoring learners, and simplifying complex technical concepts in Hindi. The Teaching Assistant will play a key role in improving learner outcomes through doubt-solving, academic support, and continuous engagement.

Key Responsibilities (KRAs)

Doubt-Solving & Tutorial Support

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

  • Explain AI/ML concepts, assignments, and coding problems clearly to learners.

  • Support tutorial sessions by reinforcing concepts taught by faculty.

Q&A and Discussion Forum Support

  • Provide timely and accurate responses to learner queries via forums, chats, or LMS.

  • Assist learners in debugging Python code and ML workflows.

Academic & Research Support

  • Support the academic team with real-world AI/ML use cases, tools, and trends.

  • Help learners understand practical trade-offs in model selection and evaluation.

Learner Engagement & Feedback

  • Encourage participation through continuous feedback and guidance.

  • Track learner progress and escalate blockers to cohort managers.

  • Share learner feedback to improve content clarity and course delivery.

Candidate Requirements

Must-Have

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

  • Strong understanding of:

    • Data preprocessing

    • Supervised & unsupervised learning

    • Model evaluation techniques

    • Basics of deep learning

  • Proficiency in Python and libraries such as:

    • NumPy, Pandas, Scikit-learn

    • TensorFlow or PyTorch

  • Prior experience in teaching, mentoring, or academic support

  • Fluency in Hindi 

Good to Have

  • Exposure to model deployment or production ML

  • Familiarity with Jupyter, Git, and LMS platforms

  • Educational background from a reputed engineering or AI/ML program

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 institute

  • Mentor and shape the next generation of AI/ML professionals

  • Stay connected with evolving AI/ML industry practices

  • Flexible, remote engagement with meaningful impact

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