Instructor – Advanced GenAI

Job not on LinkedIn

🕒 September 30

🇺🇸 United States – Remote

💵 $80 / hour

⏱ Part Time

🟠 Senior

🔴 Lead

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Full Stack Academy

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2012

📚 Education

Education

Full Stack Academy is a renowned institution that offers a variety of tech bootcamps to equip students with skills in software engineering, cybersecurity, data analytics, and artificial intelligence. The academy provides full-time and part-time programs tailored to meet the needs of individuals seeking a career in tech. With a commitment to inclusion and personal growth, Full Stack Academy supports students with career success resources and has a strong network of partners interested in hiring its graduates, such as Google, Amazon, and Facebook. The academy is known for its intensive, hands-on learning environment and offers courses that are suitable for beginners and experienced learners alike.

📋 Description

• Deliver live online instructor-led training on Advanced Generative AI, LLMs, Prompt Engineering, RAG, AI APIs, LLM applications, and AI-powered automation • Explain advanced Generative AI concepts and demonstrate practical applications of LLMs and AI tools • Conduct hands-on demonstrations using modern GenAI platforms, frameworks, and tools • Teach Generative AI fundamentals, LLM architectures, foundation models, prompting, RAG, embeddings, vector databases, context management, function calling, APIs, orchestration, fine-tuning, evaluation, multimodal AI, automation, enterprise applications, and responsible AI • Prepare and continuously update presentations, learning materials, practical exercises, hands-on activities, demonstrations, case studies, templates, and reference materials • Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations • Guide learners through practical business and industry Generative AI scenarios • Demonstrate generation, analysis, transformation, summarisation, and interaction with text, documents, images, audio, video, code, and enterprise data • Demonstrate integration of LLM applications with external data sources, APIs, databases, enterprise systems, and business workflows • Support learners in designing, building, evaluating, and implementing Generative AI solutions • Maintain learner engagement and instructional quality throughout sessions • Stay current with Generative AI developments, foundation models, LLM technologies, AI tools, frameworks, multimodal capabilities, and industry trends • Collaborate with curriculum and instructional teams to improve training content and learner outcomes • Provide individualised learner support during live sessions and scheduled office hours • Communicate learner progress, training expectations, and skill development • Provide timely, constructive feedback on exercises, activities, and assessments • Evaluate learner progress using participation, knowledge checks, practical exercises, and hands-on activities • Maintain accurate learner engagement and performance records • Identify learners needing additional support and collaborate with internal teams to improve outcomes • Foster an inclusive, collaborative, and professional learning environment • Serve as a mentor and industry role model • Represent Simplilearn professionally with learners, staff, and external stakeholders

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field • 10+ years of professional experience in Artificial Intelligence, Generative AI, Machine Learning, Data Science, Software Engineering, or related domains • Strong hands-on experience designing, developing, implementing, or deploying Generative AI and LLM-powered applications • Prior experience delivering online instructor-led training for professionals or adult learners • Demonstrated expertise in Generative AI, Large Language Models, Prompt Engineering, RAG, AI APIs, and LLM application development • Strong understanding of Generative AI, foundation models, LLM architectures, prompt engineering, advanced prompting, RAG, embeddings, vector databases, semantic search, knowledge retrieval, function calling, tool integration, LLM APIs, orchestration, context management, fine-tuning, model evaluation, hallucination mitigation, multimodal AI, AI automation, and responsible AI • Hands-on experience with OpenAI, Claude, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar technologies • Strong understanding of AI APIs, LLM integration, and enterprise Generative AI applications • Excellent communication, presentation, facilitation, and storytelling skills • Ability to simplify complex Generative AI and LLM concepts through practical examples and demonstrations • Experience building or demonstrating LLM-powered applications, RAG solutions, AI automation workflows, or Generative AI solutions • Experience conducting live virtual training using Zoom, Microsoft Teams, or similar platforms • Strong learner engagement, facilitation, Q&A management, and interactive learning abilities • Ability to connect Generative AI concepts with real-world business use cases • Applicants must be legally authorised to work in the United States at the time of application and throughout employment • Evening and weekend availability is preferred based on learner cohort schedules

🏖️ Benefits

• $80 per hour compensation • Part-time, non-exempt employment with compensation for all hours worked in accordance with applicable federal, state, and local wage and hour laws • Fully online work format • Flexible scheduling based on training schedules • Live virtual teaching environment • Office hours and learner mentorship opportunities