Company Description Pregrad is India’s career ecosystem designed for students seeking more than standalone courses, offering a structured path from skills to meaningful career outcomes. The organization focuses on mentorship, startup residencies, and global pathways that connect learning with real-world experience. Students receive 1:1 guidance from working professionals and take on hands-on responsibilities within live startups.

Pregrad emphasizes practical ownership, global exposure, and measurable results, aiming to develop capable operators ready for modern careers.

Pregrad’s values and learner-centric approach.

– AI Trainer / Generative AI Faculty

Position: AI Trainer – College Student Training Program

Duration: 2 Weeks

Engagement: Hourly / Part-Time

Mode: On-Campus / Classroom Training

Target Audience: College Students

Location: Reputed College / University

Engagement Type: Training Assignment / Short-Term Contract

About the Opportunity

We are looking for an experienced and industry-oriented AI Trainer to conduct an intensive 2-week Artificial Intelligence training program for students at a reputed college.

The trainer will be responsible for delivering engaging, practical, and structured sessions covering AI fundamentals, Generative AI, Prompt Engineering, AI productivity tools, advanced AI systems, Agentic AI, RAG, and Responsible AI.

The objective is to help students develop a strong understanding of modern AI technologies and learn how to practically apply AI tools for problem-solving, productivity, learning, and software development.

Key Training Modules

- AI Foundations & Generative AI

Generative AI fundamentals

Foundation Models





Large Language Models (LLMs)

AI capabilities and limitations

Understanding modern AI systems and applications
- Prompt Engineering & AI Productivity

Prompt structure and optimization

Writing effective prompts

Context setting

ChatGPT and other AI tools

GitHub Copilot

AI-assisted problem solving

Using AI to improve productivity and learning

- Advanced AI Systems

RAG (Retrieval-Augmented Generation) fundamentals

Agentic AI concepts

AI Agents

Multi-step AI workflows

Practical understanding of AI-powered systems

Real-world use cases and demonstrations

- Responsible AI & AI Evaluation

AI output validation

Identifying inaccurate or unreliable outputs

Bias awareness

Responsible AI practices

Ethical use of AI

Evaluating AI-generated content and responses

Key Responsibilities

Deliver structured training sessions throughout the 2-week program.

Explain complex AI concepts in a simple, student-friendly and practical manner.

Conduct live demonstrations and hands-on activities wherever applicable.

Engage students through discussions, exercises, quizzes, and practical problem-solving.

Help students understand the real-world applications of Generative AI and emerging AI technologies.

Address student queries and provide technical guidance.





Ensure the prescribed curriculum is completed within the allocated training hours.

Maintain a professional classroom workplace and coordinate with the program/college team.

Assess students' understanding through activities, assignments, or evaluations where required.

Candidate Profile

We are looking for trainers who have:

3+ years of relevant industry/training experience in AI, Generative AI, Data Science, Machine Learning, Software Development, or related technologies.

Strong practical understanding of Generative AI and LLMs.

Hands-on experience with tools such as ChatGPT, GitHub Copilot, and other modern AI platforms.

Good understanding of Prompt Engineering, RAG, AI Agents, and Agentic AI.

Excellent communication and classroom delivery skills.

Ability to train college students from diverse technical backgrounds.

Strong presentation, mentoring, and problem-solving abilities.

Experience conducting training programs in colleges/universities will be an added advantage.

Engagement & Compensation

Duration: 2 weeks

Payment: Hourly basis

Engagement: Short-term training assignment

Audience: College students

Institution: Reputed college/university

Training Mode: Primarily classroom/on-campus

Compensation: Competitive hourly remuneration based on experience and expertise.

Ideal Trainer The ideal candidate should not only have theoretical knowledge of AI but should be able to demonstrate and explain how AI is actually used in the real world. The trainer should be comfortable working with students, conducting interactive sessions, and converting technical concepts into practical learning experiences.

📌 AI Trainer (Karamba)
🏢 Pregrad
📍 Karamba