Experience: 8+ years
The Part-Time Instructor for Artificial Intelligence and Machine Learning (AIML) plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.
We are seeking experienced Agentic AI Trainers to deliver live online training sessions covering modern generative models, LLMs, LangChain, RAG, and prompt engineering with hands-on demos and projects.
- 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
- 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 fundamentals and applications - Large Language Models (architecture, training, operations, types)
- RAG concepts, components, retrievers, and workflows - Real-world applications of RAG
- LangChain architecture and core components - Building applications using LangChain - Prompt, memory, chains, and model integration - Text generation pipelines with Hugging Face models
- 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 (prompts, LLMs, output parsers) - Document loaders (CSV, PDF, HTML, JSON, Markdown) - Text splitters and embeddings in GenAI
- 8+ years of experience in Agentic Ai / Generative AI / NLP / LLMs - Strong proficiency in Python, LLM frameworks, and LangChain - Prior online or classroom training experience
Part-Time instructors typically work 8-10 hours per week depending on cohort schedules.
- Weekends- Saturday and Sunday - Sessions typically run 10:00 AM to 2 PM EST
The anticipated pay range for this position is $60- per hour, depending on qualifications and experience.
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