{"schemaVersion":"jobsearcher.job.v1","id":"82e5be0e9fcf7aeb20d6db01","url":"https://jobsearcher.com/jobs/82e5be0e9fcf7aeb20d6db01","canonicalUrl":"https://jobsearcher.com/jobs/82e5be0e9fcf7aeb20d6db01","title":"Instructor - Masterclass, GenAI/Agentic AI Workshops","description":"About Us\n\nSimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.\n\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.\n\nPosition Overview\n\nThe 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.\nInstructors 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.\nClasses are delivered 100% online in a synchronous format.\n\nKey Responsibilities\n\nDeliver live online training sessions on Generative AI tools, AI-assisted workflows, and automation concepts.\n\nCover key topics including:\n\nPractical use of AI assistants for research, documentation, and structured prompting\nAI-assisted coding and developer productivity workflows\nRepository navigation, debugging, and Git/GitHub workflows using AI tools\nPrompt engineering fundamentals and AI interaction strategies\nBuilding assistant-style automations across messaging, files, email/calendar, and APIs\nAI-assisted UI planning and Figma workflows\nFrontend basics including HTML, CSS, JavaScript, and React concepts\nSetup and configuration of developer tools and AI environments\nCLI workflows, environment configuration, and deployment basics\nSafe usage of API keys, permissions, verification, and cost management\n\nCreate structured workshop content including:\n\nLab guides\nHands-on activities\nPractice exercises\nPrompts and workflow templates\n\nProvide live demos, guided practice sessions, and hands-on learner support.\n\nSupport learners with setup, CLI, configuration, deployment, and environment-related issues.\n\nMentor learners and resolve technical or conceptual queries.\n\nConduct assessments, evaluations, or mock sessions when required.\n\nMaintain session quality metrics and learner engagement.\n\nCollaborate with internal teams on curriculum updates, delivery planning, and learner feedback.\n\nRequired Qualifications\nBachelor’s degree in Computer Science, Information Technology, Engineering, Design, or related field\n10+ years of professional experience in software engineering, AI automation, developer productivity, or technical training\nHands-on experience with AI assistants such as Claude, ChatGPT, Gemini, or similar tools\nWorking familiarity with AI coding tools including:\nClaude Code\nOpenClaw\nCursor\nGitHub Copilot\nCodex\nSimilar AI coding agents\nStrong comfort with CLI tools, VS Code, Git/GitHub, APIs, and JSON/YAML/Markdown workflows\nAbility to build simple AI-powered workflows using tools, files, APIs, and integrations\nFamiliarity with frontend concepts including Figma, HTML, CSS, JavaScript/React, and responsive UI principles\nComfort with Linux/VPS setup, SSH, environment variables, and deployment workflows\nExcellent communication, facilitation, and presentation skills\nAbility to simplify technical concepts into practical, outcome-focused learning experiences\n\nPreferred Skills\nExperience designing and delivering hands-on AI or automation workshops\nBackground in developer productivity, AI workflow consulting, or automation engineering\nExperience using AI-assisted development workflows in real-world projects\nExposure to prompt engineering, agentic workflows, and automation integrations\nFamiliarity with cloud platforms and deployment pipelines\nExperience mentoring technical teams or learners in online environments\n\nPreferred Background\n\nCandidates with experience in the following areas are highly preferred:\n\nAI workflow consultants\nDeveloper productivity trainers\nAI automation engineers\nSoftware engineers using AI coding tools\nFrontend engineers with Figma experience\nProduct designers with AI tooling exposure\nDevOps engineers\nTechnical trainers specializing in GenAI and automation\nKey Competencies\nStrong learner engagement and facilitation skills\nAbility to explain complex AI and technical concepts clearly\nStructured and professional virtual delivery\nPractical, hands-on teaching approach\nProblem-solving and mentoring mindset\nStrong collaboration and communication skills\nAdaptability to rapidly evolving AI tools and workflows\nStudent Support & Mentorship\n\nProvide individualized student support during live sessions and scheduled office hours.\n\nMaintain regular communication with students regarding progress, expectations, and milestones.\n\nRespond to student and staff communications in a timely and professional manner.\n\nProvide clear, constructive, and timely feedback on assignments and assessments.\n\nPerformance Monitoring\n\nEvaluate student progress based on course deliverables and established grading rubrics.\n\nMaintain accurate documentation of student performance and engagement.\n\nIdentify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.\n\nSupport performance improvement plans when necessary.\n\nCollaboration & Professional Conduct\n\nAdhere to institutional policies and instructional team standards.\n\nFoster an inclusive, respectful, and professional learning environment.\n\nServe as a role model and mentor for students.\n\nCollaborate with instructional staff and program teams to improve the student learning experience.\n\nRepresent the organization professionally when interacting with students, staff, and external stakeholders.\n\nWork Schedule\n\nPart-Time instructors typically work 10–15 hours per week depending on cohort schedules.\n\nThe total weekly part-time commitment is expected to be 8–12 hours.\n\nWeekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)\n\nWeekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)\n\nFlexibility for evening availability is required.\n\nCompensation\n\nThe anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.\n\nThis 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.\n\nEqual Employment Opportunity\n\nWe are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.\n\nWork Authorization\n\nApplicants must be legally authorized to work in the United States at the time of application and throughout employment.\n\n#LI-REMOTE","company":"Fullstackacademy","rawCompany":"fullstackacademy","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-19T16:06:57.135Z","occupations":[{"code":"25-3099.00","title":"Teachers and Instructors, All Other","slug":"teachers-and-instructors-all-other"},{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"},{"code":"25-3021.00","title":"Self-Enrichment Teachers","slug":"self-enrichment-teachers"}],"industries":[{"code":"611420","title":"Computer Training","slug":"computer-training"},{"code":"611699","title":"All Other Miscellaneous Schools and Instruction","slug":"all-other-miscellaneous-schools-and-instruction"},{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Instructor - Masterclass, GenAI/Agentic AI Workshops","description":"About Us\n\nSimplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.\n\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.\n\nPosition Overview\n\nThe 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.\nInstructors 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.\nClasses are delivered 100% online in a synchronous format.\n\nKey Responsibilities\n\nDeliver live online training sessions on Generative AI tools, AI-assisted workflows, and automation concepts.\n\nCover key topics including:\n\nPractical use of AI assistants for research, documentation, and structured prompting\nAI-assisted coding and developer productivity workflows\nRepository navigation, debugging, and Git/GitHub workflows using AI tools\nPrompt engineering fundamentals and AI interaction strategies\nBuilding assistant-style automations across messaging, files, email/calendar, and APIs\nAI-assisted UI planning and Figma workflows\nFrontend basics including HTML, CSS, JavaScript, and React concepts\nSetup and configuration of developer tools and AI environments\nCLI workflows, environment configuration, and deployment basics\nSafe usage of API keys, permissions, verification, and cost management\n\nCreate structured workshop content including:\n\nLab guides\nHands-on activities\nPractice exercises\nPrompts and workflow templates\n\nProvide live demos, guided practice sessions, and hands-on learner support.\n\nSupport learners with setup, CLI, configuration, deployment, and environment-related issues.\n\nMentor learners and resolve technical or conceptual queries.\n\nConduct assessments, evaluations, or mock sessions when required.\n\nMaintain session quality metrics and learner engagement.\n\nCollaborate with internal teams on curriculum updates, delivery planning, and learner feedback.\n\nRequired Qualifications\nBachelor’s degree in Computer Science, Information Technology, Engineering, Design, or related field\n10+ years of professional experience in software engineering, AI automation, developer productivity, or technical training\nHands-on experience with AI assistants such as Claude, ChatGPT, Gemini, or similar tools\nWorking familiarity with AI coding tools including:\nClaude Code\nOpenClaw\nCursor\nGitHub Copilot\nCodex\nSimilar AI coding agents\nStrong comfort with CLI tools, VS Code, Git/GitHub, APIs, and JSON/YAML/Markdown workflows\nAbility to build simple AI-powered workflows using tools, files, APIs, and integrations\nFamiliarity with frontend concepts including Figma, HTML, CSS, JavaScript/React, and responsive UI principles\nComfort with Linux/VPS setup, SSH, environment variables, and deployment workflows\nExcellent communication, facilitation, and presentation skills\nAbility to simplify technical concepts into practical, outcome-focused learning experiences\n\nPreferred Skills\nExperience designing and delivering hands-on AI or automation workshops\nBackground in developer productivity, AI workflow consulting, or automation engineering\nExperience using AI-assisted development workflows in real-world projects\nExposure to prompt engineering, agentic workflows, and automation integrations\nFamiliarity with cloud platforms and deployment pipelines\nExperience mentoring technical teams or learners in online environments\n\nPreferred Background\n\nCandidates with experience in the following areas are highly preferred:\n\nAI workflow consultants\nDeveloper productivity trainers\nAI automation engineers\nSoftware engineers using AI coding tools\nFrontend engineers with Figma experience\nProduct designers with AI tooling exposure\nDevOps engineers\nTechnical trainers specializing in GenAI and automation\nKey Competencies\nStrong learner engagement and facilitation skills\nAbility to explain complex AI and technical concepts clearly\nStructured and professional virtual delivery\nPractical, hands-on teaching approach\nProblem-solving and mentoring mindset\nStrong collaboration and communication skills\nAdaptability to rapidly evolving AI tools and workflows\nStudent Support & Mentorship\n\nProvide individualized student support during live sessions and scheduled office hours.\n\nMaintain regular communication with students regarding progress, expectations, and milestones.\n\nRespond to student and staff communications in a timely and professional manner.\n\nProvide clear, constructive, and timely feedback on assignments and assessments.\n\nPerformance Monitoring\n\nEvaluate student progress based on course deliverables and established grading rubrics.\n\nMaintain accurate documentation of student performance and engagement.\n\nIdentify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.\n\nSupport performance improvement plans when necessary.\n\nCollaboration & Professional Conduct\n\nAdhere to institutional policies and instructional team standards.\n\nFoster an inclusive, respectful, and professional learning environment.\n\nServe as a role model and mentor for students.\n\nCollaborate with instructional staff and program teams to improve the student learning experience.\n\nRepresent the organization professionally when interacting with students, staff, and external stakeholders.\n\nWork Schedule\n\nPart-Time instructors typically work 10–15 hours per week depending on cohort schedules.\n\nThe total weekly part-time commitment is expected to be 8–12 hours.\n\nWeekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)\n\nWeekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)\n\nFlexibility for evening availability is required.\n\nCompensation\n\nThe anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.\n\nThis 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.\n\nEqual Employment Opportunity\n\nWe are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.\n\nWork Authorization\n\nApplicants must be legally authorized to work in the United States at the time of application and throughout employment.\n\n#LI-REMOTE","datePosted":"2026-08-19T16:06:57.135Z","dateModified":"2026-08-19T16:06:57.135Z","hiringOrganization":{"@type":"Organization","name":"Fullstackacademy","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"82e5be0e9fcf7aeb20d6db01"},"url":"https://jobsearcher.com/jobs/82e5be0e9fcf7aeb20d6db01"}}