Adjunct Educator (Agentic AI)

dae is a Connecticut-based nonprofit innovation studio. We operate as an immersive school, community hub, and incubator where youth explore emerging technologies through project-based work and mentorship—and adult learners develop technical and human competencies for a career in emerging tech fields. About the Role Adjunct Educators at dae support Lead Educators by guiding groups of learners through the duration of short-term, project-based programs and implementation sessions, answering technical questions and advising learners along the way as they build practical projects in collaboration with peers. Our teaching style is based on a learn-by-doing model— driven by learner-designed projects. Educators spend minimal time lecturing, instead focusing on working with learners 1-on-1 or in small groups on live building sessions. This is a paid instructional role. Educators are contracted “as needed” based on program demand and may be engaged for defined instructional periods (e.g., 1-week, 2-week, 6-week, or 12-week program runs). Educators must complete a required onboarding and training period of approximately 4–6 weeks to become program-ready. Educators will be paid during the onboarding and training period. Weekly hours during onboarding and contracted program periods are determined by the active program schedule. During onboarding and contracted periods, weekly hours may vary based on program needs (often approximately 15–20 hours/week). Why dae Paid Work Opportunity: Earn while gaining valuable experience Mentorship and Personal Development Plan: Receive individualized support for your professional growth. Collaboration with Local Experts: Learn from experienced professionals in diverse fields. Deep Dive into Technical Subjects: Gain hands‑on understanding in various technical areas. Engage in Meaningful Projects: Participate in the design and development of technical projects with ongoing student interaction. The Individual in this Role will be Responsible for (under supervision of Lead SWE Educators): Facilitate agentic AI curriculum and implementation sessions, with an emphasis on applied AI workflow design, multi‑step automation, and building practical AI‑assisted systems that solve real‑world problems. Support hands‑on build sessions where participants map problems into workflows, prototype AI automations/agents, connect tools and APIs where applicable, and test systems end‑to‑end. Modify learning approach as necessary to support individual learner success and project completion, including adapting support across technical and non‑technical audiences. Build relationships with and maintain supervision of learners. Provide feedback to Lead Educators on program success and learner needs daily. Secondary / As Needed: Support delivery of other CS curriculum areas (IoT, CyberSecurity, Video Game Design, Data Science, AI, etc) if requested to meet program needs. Student Tracking and Data Track learners’ individual educational progress based on project completion. Understand and track individual learner needs. Develop individualized learning plans, as necessary, with support of the Lead Educator. Support program progress tracking by monitoring where participants are in their builds (workflow mapped, prototype built, tested, documented) and sharing updates with Lead Educators; this role is not responsible for formal grading. Represent dae at all times and serve as a positive role model for new and continuing learners. Program Support and Development OPTIONAL/ASPIRATIONAL: Create program content based on personal skillset and interest. Support other aspects of the program, as necessary and requested by lead educators. Qualifications Experience with building and troubleshooting practical AI‑enabled workflows is required for this role (through work, projects, training, or equivalent). Familiarity with agentic AI concepts and implementation approaches is required, such as AI‑assisted workflows, automation chains, orchestration patterns, AI agents/task systems, and API‑connected workflows (depth may vary by cohort level). Comfort using modern AI platforms and tools is required (e.g., ChatGPT, Claude, Copilot, Gemini), with the ability to adapt quickly as tooling evolves. Familiarity with workflow/automation tooling is strongly preferred (e.g., Zapier, Make.com, n8n, Dify, Flowise, Langflow), and comfort with basic APIs/integrations is a plus. Working or foundational knowledge in other CS curriculum areas (IoT, CyberSecurity, Video Game Design, Data Science, AI, etc) is helpful for broader program support as needed. Experience in an education role (i.e. camp counselor, peer mentor, etc) that required rapport building, listening, and accountability for student/program safety. Enthusiasm for engaging with learners and developing conversations. Strong, poised communicator with solid verbal communication skills. Able to express ideas clearly and simply, with the ability to adapt to various communication styles and needs. Strong interpersonal skills, and the ability to develop positive and meaningful working relationships with a diverse group of peers and learners. Demonstrated attention to detail and ability to stay organized. High‑level of personal accountability, with the ability to complete tasks on‑time. Open to both giving and receiving healthy feedback; flexible while also forming and keeping healthy boundaries. Committed to the organization’s purpose and willing to be an ambassador for our mission. #J-18808-Ljbffr dae