Position OverviewThe Part-Time Instructor for Generative AI & AI Productivity Tools plays a key role in delivering engaging and practical learning experiences to adult learners enrolled in our online programs. Instructors facilitate curriculum content, support student learning, and connect AI-assisted workflows to real-world productivity, development, and automation use cases. This role involves teaching live online sessions, mentoring learners, providing feedback, and contributing to a collaborative instructional environment. Classes are delivered 100% online in a synchronous format.Key Responsibilities Deliver live online training sessions on Generative AI tools, AI-assisted workflows, and automation concepts.Cover key topics including:Practical use of AI assistants for research, documentation, and structured promptingAI-assisted coding and developer productivity workflowsRepository navigation, debugging, and Git/GitHub workflows using AI toolsPrompt engineering fundamentals and AI interaction strategiesBuilding assistant-style automations across messaging, files, email/calendar, and APIsAI-assisted UI planning and Figma workflowsFrontend basics including HTML, CSS, JavaScript, and React conceptsSetup and configuration of developer tools and AI environmentsCLI workflows, environment configuration, and deployment basicsSafe usage of API keys, permissions, verification, and cost managementCreate structured workshop content including:Lab guidesHands-on activitiesPractice exercisesPrompts and workflow templatesProvide live demos, guided practice sessions, and hands-on learner support.Support learners with setup, CLI, configuration, deployment, and environment-related issues.Mentor learners and resolve technical or conceptual queries.Conduct assessments, evaluations, or mock sessions when required.Maintain session quality metrics and learner engagement.Collaborate with internal teams on curriculum updates, delivery planning, and learner feedback.Required QualificationsBachelor’s degree in Computer Science, Information Technology, Engineering, Design, or related field10+ years of professional experience in software engineering, AI automation, developer productivity, or technical trainingHands-on experience with AI assistants such as Claude, ChatGPT, Gemini, or similar toolsWorking familiarity with AI coding tools including: Claude Code; OpenClaw; Cursor; GitHub Copilot; Codex; Similar AI coding agentsStrong comfort with CLI tools, VS Code, Git/GitHub, APIs, and JSON/YAML/Markdown workflowsAbility to build simple AI-powered workflows using tools, files, APIs, and integrationsFamiliarity with frontend concepts including Figma, HTML, CSS, JavaScript/React, and responsive UI principlesComfort with Linux/VPS setup, SSH, environment variables, and deployment workflowsExcellent communication, facilitation, and presentation skillsAbility to simplify technical concepts into practical, outcome-focused learning experiencesPreferred SkillsExperience designing and delivering hands-on AI or automation workshopsBackground in developer productivity, AI workflow consulting, or automation engineeringExperience using AI-assisted development workflows in real-world projectsExposure to prompt engineering, agentic workflows, and automation integrationsFamiliarity with cloud platforms and deployment pipelinesExperience mentoring technical teams or learners in online environmentsPreferred BackgroundCandidates with experience in the following areas are highly preferred:AI workflow consultantsDeveloper productivity trainersAI automation engineersSoftware engineers using AI coding toolsFrontend engineers with Figma experienceProduct designers with AI tooling exposureDevOps engineersTechnical trainers specializing in GenAI and automationKey CompetenciesStrong learner engagement and facilitation skillsAbility to explain complex AI and technical concepts clearlyStructured and professional virtual deliveryPractical, hands-on teaching approachProblem-solving and mentoring mindsetStrong collaboration and communication skillsAdaptability to rapidly evolving AI tools and workflowsStudent Support & MentorshipProvide individualized student support during live sessions and scheduled office hours.Maintain regular communication with students regarding progress, expectations, and milestones.Respond to student and staff communications in a timely and professional manner.Provide clear, constructive, and timely feedback on assignments and assessments.Performance MonitoringEvaluate student progress based on course deliverables and established grading rubrics.Maintain accurate documentation of student performance and engagement.Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.Support performance improvement plans when necessary.Collaboration & Professional ConductAdhere to institutional policies and instructional team standards.Foster an inclusive, respectful, and professional learning environment.Serve as a role model and mentor for students.Collaborate with instructional staff and program teams to improve the student learning experience.Represent the organization professionally when interacting with students, staff, and external stakeholders.Work SchedulePart-Time instructors typically work 10–15 hours per week depending on cohort schedules.The total weekly part-time commitment is expected to be 8–12 hours.Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)Flexibility for evening availability is required.CompensationThe anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
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