Instructor, AI Workflows & Agents

Designlab • New York, NY

6d • Remote

About The Position

Designlab is seeking an experienced AI practitioner to develop and teach a new live, cohort-based course focused on AI workflows and agents for non-technical and semi-technical professionals. The ideal candidate will have experience building AI systems that can pursue goals, work across multiple steps, use tools and information, make bounded decisions, and involve human oversight. This role requires strong judgment, real operating experience, and the ability to explain complex ideas clearly and without hype. The instructor will collaborate with the Designlab team to shape the curriculum, develop examples and exercises, and teach live sessions.

Requirements

• Meaningful hands-on experience with several of the following: ChatGPT, Claude, or other frontier AI platforms
• Experience with agentic and multi-step AI workflows involving tool use and decision-making
• Experience with workflow platforms such as Zapier, Make, or n8n
• Experience with APIs, webhooks, connectors, MCP, or similar integrations
• Experience with context design, reusable instructions, and knowledge sources
• Experience with 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 operator who can break down messy processes and identify where AI can create real leverage
• Understand both the capabilities and limitations of today’s AI systems
• Ability to explain technical concepts clearly to people who don’t consider themselves technical
• Experience teaching, speaking, writing, or otherwise explaining your work to an audience
• Communication style that adds clarity rather than hype
• Curious and hands-on enough to keep learning as the technology changes

Nice To Haves

• Taught workshops, courses, or corporate training
• Built AI workflows used regularly by a team or organization
• Helped non-technical teams redesign how they work with AI
• Comfortable moving between no-code tools and light technical implementation

Responsibilities

• 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

Benefits

• Opportunity to shape a new course and point of view on AI agents
• Meaningful role in creating practical AI education
• Potential for future teaching opportunities (cohorts, workshops, private training)

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: No Education Listed