Fullstack Academy
Hiring now
Instructor - Advanced GenAI
Remote · United States$80/hr+Part-timePosted 4 weeks ago
Fullstack Academy
ApplyFullstack Academy
Hiring now
Remote · United States$80/hr+Part-timePosted 4 weeks ago
Fullstack Academy
ApplySimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialised 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, artificial intelligence, cybersecurity, product management, and more—skills 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 2,000 corporate training organisations across 150 countries have harnessed our award-winning programmes to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally.
The Online Trainer – Advanced Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our advanced Generative AI programmes.
The trainer will facilitate live online training sessions covering Generative AI, Large Language Models, Prompt Engineering, RAG, LLM Applications, AI APIs, Multimodal AI, AI-powered automation, and emerging Generative AI technologies.
This role involves explaining advanced Generative AI concepts, demonstrating practical applications of LLMs and AI tools, conducting hands-on demonstrations using modern GenAI platforms and frameworks, and connecting technical concepts with real-world business applications.
The ideal candidate should have strong hands-on experience building or implementing LLM-powered applications, RAG pipelines, AI-powered solutions, prompt engineering workflows, multimodal AI applications, AI automation solutions, and enterprise Generative AI use cases.
Classes are delivered 100% online in a synchronous, instructor-led format.
Deliver live online instructor-led training sessions covering Advanced Generative AI, Large Language Models, Prompt Engineering, RAG, AI APIs, LLM applications, and AI-powered automation.
Cover advanced Generative AI topics including:
Prepare and continuously update:
Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations.
Conduct practical demonstrations using modern Generative AI platforms, frameworks, and tools such as:
Guide learners through real-world Generative AI scenarios using practical business and industry examples.
Demonstrate how Generative AI can be used to generate, analyse, transform, summarise, and interact with text, documents, images, audio, video, code, and enterprise data.
Demonstrate how LLM applications can be integrated with external data sources, APIs, databases, enterprise systems, and business workflows.
Support learners in developing practical skills for designing, building, evaluating, and implementing Generative AI solutions.
Maintain high learner engagement and instructional quality throughout all sessions.
Stay updated with current Generative AI developments, foundation models, LLM technologies, AI tools, frameworks, multimodal AI capabilities, and emerging industry trends.
Collaborate with internal curriculum teams to continuously improve training content and learner outcomes.
Provide individualised learner support during live training sessions and scheduled office hours.
Maintain regular communication regarding learner progress, training expectations, and skill development.
Respond promptly and professionally to learner and internal team communications.
Provide timely, constructive feedback on practical exercises, activities, and learning assessments.
Support learners in applying Generative AI, LLM, Prompt Engineering, RAG, and AI application development concepts to practical business scenarios.
Help learners design and experiment with LLM applications, RAG solutions, AI-powered workflows, and Generative AI use cases through guided practice and hands-on demonstrations.
Evaluate learner progress based on participation, knowledge checks, practical exercises, and hands-on activities.
Maintain accurate records of learner engagement and performance.
Identify learners requiring additional support and collaborate with internal teams to improve learning outcomes.
Contribute to continuous improvement initiatives for training quality and learner success.
Adhere to institutional policies and instructional standards.
Foster an inclusive, collaborative, and professional learning environment.
Serve as a mentor and industry role model for learners developing their Generative AI and LLM skills.
Collaborate with instructional staff and curriculum teams to enhance learner experience and training effectiveness.
Represent Simplilearn professionally when interacting with learners, staff, and external stakeholders.
Part-Time instructors typically work 8–12 hours per week, depending on training schedules.
Each training session is approximately 3 hours in duration.
Sessions are delivered live in a fully online format.
Flexibility for evening and weekend availability is preferred based on learner cohort schedules.
The anticipated compensation for this position is $80 per hour, depending on qualifications, experience, and alignment with programme requirements.
Candidates with exceptional Generative AI expertise, strong hands-on LLM application development experience, extensive industry experience, or strong instructional experience are encouraged to apply.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal, state, and local wage and hour laws.
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, colour, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Applicants must be legally authorised to work in the United States at the time of application and throughout employment.
#L1 - REMOTE