# Instructor, Gen AI, Simplilearn (Part time)

> Fullstack Academy · United States (Remote) · — · Posted 2026-03-03

**Workplace:** remote

**Department:** Academic Instruction

## Description

**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.

## Apply

[Apply at Fullstack Academy](https://apply.workable.com/fullstackacademy/j/60A58D0873/apply)

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