Instructor, AI Workflows – Agents

🔥 4 minutes ago

🗽 New York – Remote

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💵 $90 - $120 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 0%

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Designlab

11 - 50 employees

📚 Education

👥 B2C

Education • B2C

Designlab is an online design education company that offers mentor-led courses, bootcamps, and career-track programs to train people in UX/UI and related digital design skills. Its curriculum includes foundational and advanced topics (UX Academy, Advanced Figma, prototyping, usability & accessibility), AI-focused courses, short workshops, and live intensives; the company emphasizes one-on-one mentorship, an active online community, career support, and team training for organizations. Designlab aims to help career-changers and practicing designers build practical portfolios, connect with industry mentors, and transition into or advance in product design roles.

📋 Description

• 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

• 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

• Opportunities to teach future cohorts, workshops, or private team training

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