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About the role
Key responsibilities & impact- Collaborate with Designlab to shape the curriculum, learning objectives, exercises, and projects
- Teach live sessions to cohorts of working professionals
- Help students identify strong use cases for AI, automation, and agentic workflows
- Teach students how to build systems with the right context, tools, guardrails, and human checkpoints
- Help students troubleshoot, evaluate, and improve the workflows they build
- Keep course content current as the technology evolves
- Develop teaching materials and exercises and prepare the course for launch
Requirements
What you’ll need- Meaningful hands-on experience with several of: ChatGPT, Claude, or other frontier AI platforms; agentic and multi-step AI workflows involving tool use and decision-making; workflow platforms such as Zapier, Make, or n8n; APIs, webhooks, connectors, MCP, or similar integrations; context design, reusable instructions, and knowledge sources; human-in-the-loop systems, guardrails, evaluation, and reliability
- Actively build useful AI-powered or agentic workflows as part of your work
- Clear perspective on when agents are useful and when they add unnecessary complexity
- Strong operating experience breaking down messy processes and identifying where AI can create leverage
- Understanding of the capabilities and limitations of today’s AI systems
- Ability to explain technical concepts clearly to non-technical audiences
- Experience teaching, speaking, writing, or otherwise explaining work to an audience
- Clear, non-hyped communication style
- Curiosity and hands-on approach to continued learning
- Bonus: experience teaching workshops, courses, or corporate training
- Bonus: AI workflows used regularly by a team or organization
- Bonus: helping non-technical teams redesign how they work with AI
- Bonus: comfort moving between no-code tools and light technical implementation
Benefits
Comp & perks- Opportunities to teach future cohorts, workshops, or private team training