Instructor, Gen AI, Simplilearn (Part time)

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

BenefitsCompensation:

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.