Teaching Assistant - AI/ML | English | Part Time

Masai; Bengaluru; Remote; INR 137,000 - 273,000; Part time

Benefits offered by this job

Remote-friendly schedule

Flexible hours

Networking with IITs/IIMs

Job summary

Masai is seeking a Teaching Assistant for Artificial Intelligence, Machine Learning and Data Science. This remote, part-time role offers 3,000–6,000 INR per week and flexible hours (8:00 PM weekdays; weekends).

You’ll answer questions during live classes and mentor students, helping them debug code and understand models, with opportunities to work with data science concepts across the curriculum. Ideal candidates have 1+ year in data science/AI, familiarity with Python, SQL and ML basics, plus a

Qualifications

• Strong Python for data science skills including data cleaning, exploration and visualization.
• Solid knowledge of SQL and statistics for ML workflows.
• Familiarity with ML concepts: ML models, Deep Learning, NLP, and transformers.
• Experience mentoring or teaching is a plus.

Responsibilities

• Answer student questions during live classes via chat.
• Mentor groups and individuals, helping debug code and understand model behavior.

Skills

Python

ML

NLP & Transformers

Deep Learning

SQL

Statistics

Git

GitHub

Data Visualization

Time Series

Reinforcement Learning

Cloud Tools

Problem Framing

End-to-End Projects

A/B Testing

Tools

Git

GitHub

Python

Job description

Teaching Assistant - Artificial Intelligence, Machine Learning & Data Science

Part-time (not a full-time job) | 3 to 6 hours a week | Remote | ₹3,000 to ₹6,000 a week (more for experienced TAs)

Remember that one teacher who made a scary topic suddenly make sense?

Be that person for someone.

At Masai, our students are career switchers, fresh graduates and working professionals who want a better job and a better life. Many of them are one "aha!" moment away from getting there. You could be the one who gives it to them.

What you'll do

• Answer student questions on chat during live classes. Think of it as being the calm, smart friend in the group chat.
• Mentor students in groups and sometimes one-on-one. You help them debug their code, understand why a model behaves the way it does and believe in themselves.

When you'll work

• Weekdays from 8:00 PM
• Weekends

It fits neatly around your day job or research.

Why this matters

Every student has a question they're scared to ask. As their mentor, you're the one they ask without feeling judged. "Dumb" questions are never dumb. Answer one and it clicks. That's the magic: you help someone upskill and change their life.

You might forget the doubt you cleared on a Tuesday night. They won't.

Every good teacher learns twice.

What you should know well

• Python for data science, plus Git and GitHub
• Working with data: cleaning, exploring and visualizing it
• SQL
• The math behind ML: statistics, probability, linear algebra and calculus basics
• Machine learning: building, evaluating and improving models
• Deep learning and neural networks
• NLP and transformers
• Generative AI: LLMs, prompting, RAG and AI agents
• Deploying models as simple apps or APIs
• Responsible AI: bias, privacy and safety basics
• Problem framing: knowing when ML is the right tool and linking results to business decisions
• End-to-end projects that students can show to employers
• Time series, A/B testing, reinforcement learning or cloud tools are a bonus

Who can apply

You should be one of these:

• A working professional with 1+ year of experience in data science, machine learning, AI or a related role
• A PhD scholar in computer science, AI, statistics, mathematics or a related area

We prefer ed-tech or teaching experience. No teaching experience yet? That's okay. If you're confident you can explain things clearly and make students want to learn, apply anyway and show us.

What's in it for you

• Earn around ₹3,000 to ₹6,000 a week based on your hours, and more if you're an experienced TA
• Network with senior industry leaders and professors from IITs, IIMs and other top institutions
• Join a community of like-minded folks who love AI, data and teaching
• Stay sharp in a field that changes every few months
• The joy of watching someone's career take off because you showed up