Job Title

Technical Mentor – GenAI, Data Structures & Data Analysis | Remote | Full-Time

About the Role

We are looking for a Technical Mentor / Trainer who can conduct live online training sessions and interview-preparation sessions for working professionals and job seekers.

This is a 100% remote, full-time role with working hours from 11:00 AM to 8:00 PM IST.

Our immediate priority is to find someone who can confidently handle:

- Data Structures & Algorithms
- Generative AI / GenAI
- Data Analysis
- Technical interview preparation
- Mock interviews

You do not need to be an experienced corporate trainer. We are also open to strong interns, fresh graduates, teaching assistants, developers or engineers who have excellent technical fundamentals and strong communication skills.

Compensation

₹10,000 – ₹15,000 per month

Equivalent annual package

₹1.2 LPA – ₹1.8 LPA

Please apply only if you are comfortable with this compensation range.

The final compensation will depend on:

- Technical knowledge
- Communication skills
- Teaching ability
- Interview performance
- Ability to handle multiple technical domains independently

Working Model Location: Remote / Work From Home

Employment Type: Full-Time

Working Hours: 11:00 AM – 8:00 PM IST

Working Mode: 100% Online

Monthly Compensation: ₹10,000 – ₹15,000

Annual Package: ₹1.2 LPA – ₹1.8 LPA

Primary Responsibilities The mentor will conduct live online sessions covering:

1. Data Structures & Algorithms

Candidates should be comfortable explaining topics such as:
- Arrays
- Strings
- Linked Lists
- Stacks
- Queues
- Hashing
- Trees
- Graphs
- Recursion
- Searching
- Sorting
- Time Complexity
- Space Complexity
- Problem-solving approaches

The focus should not only be on solving problems, but also on helping candidates explain their approach during interviews.
1. Generative AI

You should have working knowledge of areas such as:
- Generative AI fundamentals
- Large Language Models
- Prompt Engineering
- RAG
- Embeddings
- Vector Databases
- LangChain / similar frameworks
- LLM APIs
- AI agents
- Python for GenAI




- GenAI application development

Advanced expertise in every topic is not mandatory, but you should be able to understand concepts quickly and explain them clearly.
1. Data Analysis

Candidates should be comfortable teaching or discussing:
- Python
- Pandas
- NumPy
- SQL
- Data Cleaning
- Data Transformation
- Exploratory Data Analysis
- Descriptive Statistics
- GroupBy
- Pivot Tables
- Data Visualization
- Business Analytics concepts

1. Interview Preparation

You will help candidates prepare for technical interviews by:
- Asking role-specific interview questions
- Evaluating candidate answers
- Identifying missing concepts
- Asking follow-up questions
- Explaining ideal answers
- Improving candidate communication
- Helping candidates structure technical explanations

1. Mock Interviews

After becoming comfortable with our interview process, you may also conduct:
- Technical mock interviews
- GenAI mock interviews
- Data-related interviews
- Software engineering interviews
- Interview feedback sessions

Required Skills We are primarily looking for someone with:
- Strong communication skills
- Good spoken English
- Strong technical fundamentals
- Ability to explain difficult concepts simply
- Confidence while speaking with working professionals
- Good problem-solving ability
- Ability to ask meaningful follow-up questions
- Willingness to learn new technologies
- Reliable internet connection
- Laptop/Desktop suitable for online sessions

Technical Skills Candidates having knowledge of several of the following will be preferred:

Programming

Python, C, C++, Java or similar

Data Structures

DSA, Algorithms, Problem Solving

Data Analysis

Python, Pandas, NumPy, SQL, Statistics, Visualization

GenAI

LLMs,



Prompt Engineering, RAG, Vector Databases, LangChain, APIs, AI Agents

Who Can Apply?

We are open to

- Software Engineers
- Python Developers
- GenAI Developers
- Data Analysts
- Data Engineers
- AI/ML Engineers
- Teaching Assistants
- Technical Trainers
- Freelance Trainers
- Recent graduates with strong technical skills
- Final-year students with excellent fundamentals
- Good-quality interns looking for a full-time opportunity

Candidates with 0–3 years of experience are welcome to apply if they can demonstrate strong technical and communication skills. What Matters More Than Experience

We are not looking only at years of experience.

During selection, we will evaluate whether you can:

1. Understand a technical question
2. Explain the concept clearly
3. Identify gaps in a candidate's answer
4. Ask relevant follow-up questions
5. Correct an incorrect answer
6. Communicate confidently
7. Keep a learner engaged during an online session

Selection Process Shortlisted candidates may be asked to conduct a short demo session.

Example topics could include

- Explain Array vs Linked List
- Explain Time Complexity
- Explain RAG to a beginner
- Explain Pandas GroupBy
- Conduct a short technical mock interview

Selection will primarily be based on: Technical Knowledge + Communication + Teaching Ability

Ideal Candidate

This opportunity can be a good fit if you:
- Enjoy teaching technology
- Enjoy conducting technical discussions
- Want practical exposure to GenAI and interview preparation
- Are comfortable interacting with working professionals
- Want to build experience as a technical mentor
- Can work consistently between 11 AM and 8 PM IST

Important This is a full time remote role.

Working Hours: 11 AM – 8 PM IST

Compensation: ₹10,000 – ₹15,000/month

Annual Package: ₹1.2 LPA – ₹1.8 LPA

Please apply only if

- You are comfortable with the compensation
- You can work during the mentioned timings
- You have good spoken communication skills
- You are interested in technical mentoring/training

📌 Technical Mentor – GenAI, DSA & Data Analysis | Remote | ₹1.2–1.8 LPA | 0-3 Years Experience (India)
🏢 Hackveda
📍 India