Experience: 10+ years
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.
- 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
- 10+ years of experience in Generative AI / NLP / LLMs - Strong proficiency in Python, LLM frameworks, and LangChain - Prior online or classroom training experience
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.
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