OR · On-site
$875/wk
Role Overview General Assembly is seeking a senior-level Lead Instructor to deliver a high-impact, 90-minute virtual training session on Generative AI tools for our client on May 7th . The ideal ...
OR · On-site
$875/wk
Role Overview General Assembly is seeking a senior-level Lead Instructor to deliver a high-impact, 90-minute virtual training session on Generative AI tools for our client on May 7th . The ideal ...
Generative Ai Instructor information
What does a generative AI instructor do?
A Generative AI Instructor is responsible for teaching individuals or groups about generative artificial intelligence technologies, such as machine learning models that create new content (text, images, audio, etc.). They design curriculum, lead workshops, and provide hands-on demonstrations to help students understand how to build, fine-tune, and deploy generative AI models. Additionally, they stay updated on the latest advancements in AI and help learners understand ethical considerations and real-world applications of generative AI.
What are some common challenges generative AI instructors face when teaching complex concepts to diverse learners?
Generative AI Instructors often encounter the challenge of breaking down advanced machine learning and artificial intelligence concepts into digestible lessons for students with varying backgrounds. Balancing the technical depth required for industry relevance with accessibility for beginners requires flexible teaching strategies and strong communication skills. Additionally, keeping course materials up-to-date with the rapidly evolving AI landscape is essential, which means instructors must continually learn and adapt their curriculum. Collaboration with peers and industry professionals is common to ensure content accuracy and relevance.
What are the key skills and qualifications needed to thrive as a generative AI instructor, and why are they important?
To thrive as a Generative AI Instructor, you need a deep understanding of machine learning, natural language processing, and AI concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and platforms such as Jupyter Notebook is typically required, along with experience using generative AI frameworks and models. Strong communication, adaptability, and the ability to simplify complex topics for diverse learners are important soft skills in this role. These skills ensure effective teaching, empower students to grasp advanced AI concepts, and keep coursework relevant in a fast-evolving field.
What is the difference between Generative Ai Instructor vs Data Scientist?
| Aspect | Generative Ai Instructor | Data Scientist |
|---|---|---|
| Required Credentials | AI/ML certifications, teaching experience | Statistics, programming, data analysis degrees |
| Work Environment | Educational settings, online platforms | Research labs, tech companies, finance |
| Employer & Industry Usage | EdTech, training programs | Tech firms, finance, healthcare |
While both roles involve AI expertise, a Generative Ai Instructor primarily focuses on teaching and training others in generative AI techniques, often within educational or training environments. In contrast, a Data Scientist analyzes data to derive insights and build models across various industries. Both roles require strong technical skills, but their core responsibilities and work settings differ significantly.
What are popular job titles related to Generative Ai Instructor jobs in Oregon? For Generative Ai Instructor jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Generative Ai Instructor jobs in Oregon look for? The top searched job categories for Generative Ai Instructor jobs in Oregon are:
What cities in Oregon are hiring for Generative Ai Instructor jobs? Cities in Oregon with the most Generative Ai Instructor job openings:
Job description
Job Title: Lead Instructor
Company: General Assembly
Client: Confidential
Lesson Date: May 7th
Format: Fully Virtual
Session Duration: 90-minute lesson + 30-minute client demo + prep time
Compensation: $875 flat fee (inclusive of prep, demo, and delivery)
Schedule Requirements- Client Demo: Must be available for a 30-minute demo session for the client (Date TBD).
- Internal Prep: Available for asynchronous preparation, and internal dry-run sessions to ensure consistency at scale.
- Live Delivery: May 7th (90-minute session).
General Assembly is seeking a senior-level Lead Instructor to deliver a high-impact, 90-minute virtual training session on Generative AI tools for our client on May 7th. The ideal candidate is a "maestro" of virtual environments, capable of commanding a room of over 100 participants while managing complex logistics like breakout rooms and live, unscripted demonstrations. You will model how Enterprise AI tools can be integrated into workplace functions, maintaining a high-energy, engaging environment. Curriculum and content is already created, General Assembly is seeking a master trainer to facilitate.
Key Responsibilities & Requirements1. Virtual Facilitation & Room Mastery- Command the Room: Expertly manage and engage a virtual audience of 100+ participants.
- Orchestration: Act as a maestro of virtual platforms-managing breakout rooms, screen sharing, and stakeholder engagement simultaneously.
- Adaptive Pacing: Read the room and adapt delivery for large groups, modifying tone and expectations based on learner abilities (from individual contributors to executives).
- Live Facilitation: Provide spontaneous, "thinking-out-loud" live demos using real business use cases. You must be able to troubleshoot tool issues or prompt errors on the fly in front of a live audience.
- Tool Mastery: Deep hands-on experience with Gemini, Gems, Notebook LM, and Google Workspace Studio.
- GSuite Integration: Fluent across the full Google ecosystem (Sheets, Slides, Docs) and how AI features operate within them.
- Advanced Prompting:
- Apply structured and iterative techniques (e.g., Role, Objective, Specifics, or GCSE).
- Use layered prompt engineering with document uploads to extract key actions and generate structured summaries.
- Design multi-step prompt workflows and task chains that simulate decision-making.
- Data Transformation: Use GenAI to transform unstructured data from multiple sources (PDFs, spreadsheets) into usable, presentation-ready content.
- Industry Context: Experience in Food Delivery, Marketplace, Supply Chain, or Logistics is highly preferred to ensure use cases are relevant.
- Scaffolded Approach: Articulate a structured learning path, explaining what GenAI is and how it supports specific business objectives.
- Collaborative Leadership: Proactively coordinate with Associate Instructors (IAs) and lead team members through their responsibilities.
- Professional Tone: Frame delivery as a "co-worker showing how I do this" rather than a traditional trainer, maintaining a contagious energy and passion for the topic.
- Senior Expertise: Proven experience in modeling Enterprise AI tools for professional workplace functions.
- Google Specialist: Prior experience specifically with Google Suite tools is required (not just general AI knowledge).
- Organizational Excellence: Hyper-organized and diligent in the preparation of content and instructional methodology.
- Engagement Obsessed: A deep focus on creating an engaging student experience for every learner.