Instructor, Gen AI, Simplilearn (Part time)

About the role

About: Simplilearn

Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.

Simplilearn has collaborated with Full stack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally

Job Summary

We are seeking experienced Generative AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.

Key Responsibilities

Deliver live, instructor-led online classes

Conduct hands-on demos, guided practices, and projects

Explain concepts using real-world use cases

Address learner queries and ensure engagement

Required Skills & Expertise

Generative AI & Foundation Models

Generative AI model types and applications

VAEs and GANs (architecture, use cases, limitations)

Transformer-based models and attention mechanisms

Self-attention and multi-head attention

Language Models & LLMs

Language models fundamentals and applications

Large Language Models (architecture, training, operations, types)

Retrieval-Augmented Generation (RAG)

RAG concepts, components, retrievers, and workflows

Real-world applications of RAG

LangChain

LangChain architecture and core components

Building applications using LangChain

Prompt, memory, chains, and model integration

Text generation pipelines with Hugging Face models

Prompt Engineering

Prompt fundamentals and optimization

Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting

Prompt templates and LangChain prompts

Prompt engineering applications (data & synthetic data generation)

Model I/O & Data Handling

Model I/O (prompts, LLMs, output parsers)

Document loaders (CSV, PDF, HTML, JSON, Markdown)

Text splitters and embeddings in GenAI

Qualifications

10+ years of experience in Generative AI / NLP / LLMs

Strong proficiency in Python, LLM frameworks, and LangChain

Prior online or classroom training experience

Benefits

Compensation:

Part-Time Instructors are hourly, non-exempt employees. As such they will be compensated for all time worked. Part-time Instructors can expect to work approximately 8-10 hours per week and should not exceed expected hours without manager approval.

The expected compensation for this role for candidates is $50 per hour for candidates who fulfill the qualifications for the role.

Posting text as published by Fullstack Academy.

The evidence behind this listing

Workplace

Remote Employer field

Seniority

Not established

Employment type

part time

Location as listed

United States

Technology

pythonllm frameworkslangchainhugging face models

Pay and work authorization

Stated pay

$50/hr AI reading of the posting

Visa sponsorship

Not stated

Security clearance

Not required

Citizenship

Not required