Role Description
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.
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Deliver live, instructor-led online classes
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Conduct hands-on demos, guided practices, and projects
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Explain concepts using real-world use cases
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Address learner queries and ensure engagement
Qualifications
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10+ years of experience in Generative AI / NLP / LLMs
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Strong proficiency in Python, LLM frameworks, and LangChain
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Prior online or classroom training experience
Requirements
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Generative AI model types and applications
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VAEs and GANs (architecture, use cases, limitations)
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Transformer-based models and attention mechanisms
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Self-attention and multi-head attention
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Language models fundamentals and applications
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Large Language Models (architecture, training, operations, types)
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Retrieval-Augmented Generation (RAG) concepts, components, retrievers, and workflows
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Real-world applications of RAG
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LangChain architecture and core components
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Building applications using LangChain
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Prompt fundamentals and optimization
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Zero-shot, few-shot, CoT, Self-Consistency, ToT prompting
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Prompt templates and LangChain prompts
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Model I/O (prompts, LLMs, output parsers)
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Document loaders (CSV, PDF, HTML, JSON, Markdown)
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Text splitters and embeddings in GenAI
Benefits
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Part-Time Instructors are hourly, non-exempt employees compensated for all time worked
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Part-time Instructors can expect to work approximately 8-10 hours per week
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Expected compensation is $50 per hour for candidates who fulfill the qualifications for the role