Design scenario-based training content that teaches practical GenAI workflows using Gemini, Copilot, or ChatGPT
Create prompts, task flows, and mini-capstone projects aligned to specific functions (workforce scheduling, employee communications, payroll & HR, customer service, marketing analytics)
Provide technical guidance on Gemini, Copilot, or ChatGPT's limitations and workarounds with specific error resolution strategies
Refine hands-on training experiences including live demos, error handling guidance, and realistic enterprise use cases
Ensure curriculum accurately reflects Gemini, Copilot, or ChatGPT behavior across platforms
Recommend tools and workflows to simulate or support Gemini, Copilot, or ChatGPT functionality in a training environment
Develop comparative guidance on when to use Gemini, Copilot, or ChatGPT versus alternative AI assistants
Deliverables: 8-10 function-specific use case templates; troubleshooting guide with 15+ common errors and solutions; prompt engineering best practices document; 3-5 mini-capstone projects
Collaborate with Learning Experience Design and Product teams via weekly syncs and asynchronous shared documents/project management tools
Requirements
At least 6 months of hands-on experience with Gemini, Copilot, or ChatGPT
Experience across multiple Gemini, Copilot, or ChatGPT enabled apps
Strong grasp of prompt engineering, prompt iteration, and output validation techniques
Familiarity with Gemini, Copilot, or ChatGPT's technical implementation and limitations compared to other AI platforms
Experience designing or advising on enterprise-level GenAI training or enablement programs
Ability to articulate tradeoffs, pitfalls, and workarounds when teaching Gemini, Copilot, or ChatGPT to a non-technical audience
Availability to collaborate asynchronously and attend weekly sync meetings with Learning Design and Product teams
Ability to commit approximately 10-15 hours per week (part-time contractor)