Adjunct Educator (Agentic AI)

About dae

dae is a Connecticut-based nonprofit innovation studio — part immersive school, part community hub, part incubator. We work with youth exploring emerging technologies through project-based learning, and with adult learners building technical and human competencies for careers in AI and emerging tech. Our teaching philosophy is simple: people learn by building things that matter.

The Opportunity

We're looking for an Adjunct Educator in Agentic AI to join our instructional team on a recurring contracted basis. This is a substantive part-time engagement — not a one-off gig. Educators who are a strong fit are re-engaged across program cycles, and most active Adjuncts work 10–20 hours per week during contracted periods.

If you're a CS grad student, working technologist, or educator looking for meaningful applied work that fits around your primary commitments — and you're genuinely excited about AI workflow design and teaching — this is worth your time.

Onboarding: All new Educators complete a paid 4–6 week onboarding and training period before their first program assignment.

What You'll Do

You'll work alongside Lead Educators to guide learners — individually and in small groups — through hands-on build sessions centered on agentic AI. The emphasis is on doing, not lecturing. You'll help participants go from problem to workflow to working prototype.

Specifically:

Facilitate applied AI curriculum: workflow design, multi-step automation, AI-assisted systems, API-connected tools

Support live build sessions where learners map real problems, prototype automations, and test end-to-end

Adapt your approach to individual learners — technical and non-technical alike

Track learner progress by project milestone and flag needs to Lead Educators daily

Contribute feedback that shapes how programs improve over time

Secondary support in other CS curriculum areas (IoT, cybersecurity, data science, game design) available and welcomed for those with relevant background.

What We're Looking For

Required:

Hands-on experience building and troubleshooting AI-enabled workflows — through work, projects, research, or equivalent

Familiarity with agentic AI concepts: automation chains, orchestration patterns, task systems, API-connected workflows

Comfort across modern AI platforms (Claude, ChatGPT, Copilot, Gemini) and the ability to adapt as tooling evolves

Experience in any instructional, mentorship, or supervisory role requiring rapport-building and accountability

Strongly preferred:

Familiarity with workflow/automation tools: Zapier, Make, n8n, Dify, Flowise, Langflow, or similar

Comfort with basic API integrations

You'll thrive here if you:

Communicate clearly and adapt naturally across different audiences and learning styles

Take ownership — of your learners, your sessions, and your own growth

Want work that's intellectually alive, not just a line on a résumé

Are fluent in Spanish (a plus, not a requirement)

Compensation & Engagement

Paid instructional role — competitive hourly rate

Paid onboarding and training (4–6 weeks)

Recurring engagement across program cycles for Educators who are a strong fit

Flexible structure designed to work alongside graduate study, faculty roles, or full-time employment

What it's like to work with us

dae sits at a genuinely interesting intersection — rigorous technical education, human-centered pedagogy, and communities that don't often get access to this kind of learning. The work is real. The learners are engaged. And the people you'll work alongside take both the technology and the teaching seriously.

Job Type: Part-Time, Full-Time, Permanent, Gig