Role Description
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.
Qualifications
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Proven experience in modeling Enterprise AI tools for professional workplace functions.
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Prior experience specifically with Google Suite tools is required (not just general AI knowledge).
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Hyper-organized and diligent in the preparation of content and instructional methodology.
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A deep focus on creating an engaging student experience for every learner.
Requirements
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Must be available for a 30-minute demo session for the client (Date TBD).
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Available for asynchronous preparation and internal dry-run sessions to ensure consistency at scale.
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Live Delivery: May 7th (90-minute session).
Benefits
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Compensation: $875 flat fee (inclusive of prep, demo, and delivery).
Key Responsibilities & Requirements
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Virtual Facilitation & Room Mastery
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Expertly manage and engage a virtual audience of 100+ participants.
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Act as a maestro of virtual platforms—managing breakout rooms, screen sharing, and stakeholder engagement simultaneously.
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Read the room and adapt delivery for large groups, modifying tone and expectations based on learner abilities (from individual contributors to executives).
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Provide spontaneous, "thinking-out-loud" live demos using real business use cases.
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Ability to troubleshoot tool issues or prompt errors on the fly in front of a live audience.
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Technical Expertise (Google AI Ecosystem)
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Deep hands-on experience with Gemini, Gems, Notebook LM, and Google Workspace Studio.
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Fluent across the full Google ecosystem (Sheets, Slides, Docs) and how AI features operate within them.
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Apply structured and iterative techniques (e.g., Role, Objective, Specifics, or GCSE).
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Use layered prompt engineering with document uploads to extract key actions and generate structured summaries.
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Design multi-step prompt workflows and task chains that simulate decision-making.
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Use GenAI to transform unstructured data from multiple sources (PDFs, spreadsheets) into usable, presentation-ready content.
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Instructional Leadership & Methodology
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Experience in Food Delivery, Marketplace, Supply Chain, or Logistics is highly preferred to ensure use cases are relevant.
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Articulate a structured learning path, explaining what GenAI is and how it supports specific business objectives.
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Proactively coordinate with Associate Instructors (IAs) and lead team members through their responsibilities.
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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.