Instructor — AI Workflows & Agentic Systems

Designlab

New York (NY)

On-site

USD 207,000 - 276,000

Part time

7 days ago
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Job summary

Designlab is expanding its AI training offerings with a live, cohort-based course focused on AI workflows and agentic systems for non-technical and semi-technical professionals. You will shape curriculum, develop examples, and teach live sessions to professionals looking to apply AI in real-world work.

The role emphasizes strong judgment, practical operating experience, and the ability to explain complex ideas clearly, not just demos.

Qualifications

  • Hands-on experience with ChatGPT, Claude, or frontier AI platforms.
  • Ability to design multi-step AI workflows with tool use and decision-making.
  • Familiarity with workflow platforms such as Zapier, Make, or n8n.
  • Experience with APIs, webhooks, connectors, MCP, or similar integrations.
  • Understanding of context design, reusable instructions, and knowledge sources.
  • Experience teaching or explaining complex ideas clearly.

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.

Skills

AI platforms
Agentic workflows
Multi-step tooling
Workflow automation
Guardrails & human checks
Clear explanations

Tools

Zapier
Make
n8n
APIs & Webhooks
Connectors
MCP

Job description

Designlab is expanding its AI training offerings with a live, cohort-based course focused on AI workflows and agentic systems for non-technical and semi-technical professionals. You will shape curriculum, develop examples, and teach live sessions to professionals looking to apply AI in real-world work.

The role emphasizes strong judgment, practical operating experience, and the ability to explain complex ideas clearly, not just demos.

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