About the role
Support an AI training and consulting practice that works with some of the world's biggest companies. You'll work on the technical side (client research, training material, demos) and the growth side (LinkedIn content, live cohorts, and conference talks). Over time, you'll build small AI apps and demos.
Responsibilities
The full-time role covers everything below. Part-time focuses on training and client support.
Training & client support
- Research clients before calls: their industry, teams, and where AI fits
- Draft custom training outlines with ChatGPT and Claude
- Build training material: slides, hands-on labs, sample datasets, demo notebooks
- Join client calls, capture requirements, and draft follow-ups and proposals
- Answer basic technical questions for the sales team
Content & growth (full-time)
- Turn training sessions, talks, and demos into LinkedIn posts, carousels, and short clips
- Maintain a weekly posting calendar
- Support live cohorts: course pages, lab material, community moderation, and learner doubt-solving
- Track conference CFP deadlines, draft talk abstracts, and polish slides
Building
- Build demo repos that back up posts and talks
- Over time, build small AI apps (RAG chatbots, simple agents) with Claude Code
Requirements
- Fast learner: you pick up new tools and concepts quickly. AI changes every month, and so will this job.
- Self-driven: you figure things out on your own. You'll get direction, not hand-holding.
- You use ChatGPT or Claude daily and know how to get good output from them
- Clear written English
- Can turn a technical idea into a short, engaging post
- Able to explain a technical idea simply to a non-technical person
- Basic Python, or able to pick it up on your own quickly
- Reliable: you meet deadlines
- No prior work experience needed
Nice to have
- Built something with an LLM API, even a small project
- Familiar with LLMs, RAG, embeddings, agents, and prompt engineering
- Active on LinkedIn, or writes online
- Comfortable with PowerPoint or Google Slides
- CS, IT, or AI/ML background, final year or recent graduate
What you get
- Hands-on work on enterprise AI training for some of the world's biggest companies
- A public portfolio: your name on demos, repos, and course material
- Exposure to live cohorts and international conference work
- A reference after 6+ months
Location & hours
- Dewas preferred, in person. Indore works with 1–2 visits a week to Dewas.
- Full-time, or part-time at 4 hours a day with timing agreed upfront
- Start: immediate
Pay
- Full-time: ₹12,000 / month
- Part-time (4 hrs/day): ₹6,000 / month
- The first month is paid probation at 50% (₹6,000 full-time, ₹3,000 part-time). Full pay from month 2.