Teaching Assistant - AI/ML | Telugu | Part Time

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

Benefits offered by this job

Remote work

Networking with industry leaders

Flexible hours

Job summary

Masai is seeking a part-time Teaching Assistant for AI/ML & Data Science to support live classes remotely. You’ll answer questions in chat, mentor students in groups, and help them debug code while explaining model behavior.

The role fits around another job or research and requires strong knowledge of Python, SQL, ML fundamentals, and deep learning concepts. Compensation ranges ₹3,000–₹6,000 per week, with higher pay for experienced TAs.

Qualifications

• Ability to explain complex topics clearly to diverse learners.
• Experience in data science, ML, AI or related role.
• Prefer ed-tech or teaching experience.
• No teaching experience? Apply anyway with confidence.

Responsibilities

• Answer student questions on chat during live classes.
• Mentor students in groups and sometimes one-on-one, helping debug code and understand model behavior.

Skills

Python for data science

Machine learning

NLP & transformers

Deep learning

Generative AI

Model evaluation

Problem framing

Cloud tooling basics

Education

PhD candidate in computer science/AI

Tools

Git

GitHub

APIs

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