{"schemaVersion":"jobsearcher.job.v1","id":"d41787937c2d45ae159b2cce","url":"https://jobsearcher.com/jobs/d41787937c2d45ae159b2cce","canonicalUrl":"https://jobsearcher.com/jobs/d41787937c2d45ae159b2cce","title":"Instructor - Generative AI in Data Analytics","description":"About Us\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.\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.\nPosition Overview\nThe Part-Time Instructor for Generative AI in Data Analytics plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.\nInstructors facilitate curriculum content, support student learning, and connect Generative AI concepts with real-world analytics and business intelligence applications. 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.\nKey Responsibilities\nDeliver live online training sessions on Generative AI applications in analytics.\nCover key topics including:\nGenerative AI in Analytics\nOverview of Generative AI in data analytics\nRole of AI in modern analytics workflows\nEmerging trends and enterprise applications\nAI-Driven Data Analysis\nData augmentation using AI-generated synthetic data\nGenerative AI for exploratory data analysis\nAI-assisted data interpretation and insight generation\nAI-driven data modeling and forecasting concepts\nAI-Powered Visualization & Reporting\nGenerative AI for tailored data visualization\nAI-assisted dashboarding and reporting workflows\nIntegration of AI into visualization pipelines\nAI & Data Engineering Workflows\nOptimization of ETL processes using AI tools\nAI-assisted workflow automation concepts\nData preparation and transformation using AI-enabled tools\nEthics & Future Trends\nChallenges and ethical considerations in integrating AI into analytics workflows\nResponsible AI usage and governance concepts\nFuture trends and emerging applications in AI-driven analytics\nProvide hands-on demonstrations using relevant AI and analytics tools.\nFacilitate practical exercises, case studies, assignments, and project guidance.\nMentor learners and resolve technical or conceptual queries.\nConduct assessments, evaluations, and feedback sessions.\nMaintain session quality metrics, learner engagement, and reporting standards.\nCollaborate with internal teams on curriculum refinement and content enhancement initiatives.\nRequired Qualifications\nBachelor’s degree in Data Science, Analytics, Computer Science, Artificial Intelligence, or related field\nIndustry experience applying Generative AI or AI-assisted analytics techniques\nStrong understanding of data analytics workflows and tools\nFamiliarity with LLM-based tools, prompt engineering, or AI platforms\nPrior experience delivering online or classroom training preferred\nExcellent communication, facilitation, and presentation skills\nAbility to explain AI concepts through practical analytics use cases\nPreferred Skills\nExperience with Python, SQL, or analytics ecosystems\nExposure to AI platforms and tools such as:\nOpenAI’s ChatGPT\nOpenAI Playground\nHugging Face\nSimilar Generative AI platforms and LLM ecosystems\nExperience integrating AI into visualization, reporting, or analytics pipelines\nCertifications in AI, Data Analytics, or Data Science\nFamiliarity with AI-assisted automation and business intelligence workflows\nKey Competencies\nAbility to bridge AI concepts with practical analytics use cases\nStrong learner engagement and facilitation capability\nStructured and professional virtual delivery approach\nAnalytical and mentoring mindset\nStrong problem-solving and communication skills\nAdaptability to evolving AI technologies and analytics trends\nStudent Support & Mentorship\nProvide individualized student support during live sessions and scheduled office hours.\nMaintain regular communication with students regarding progress, expectations, and milestones.\nRespond to student and staff communications in a timely and professional manner.\nProvide clear, constructive, and timely feedback on assignments, assessments, and projects.\nPerformance Monitoring\nEvaluate student progress based on course deliverables and established grading rubrics.\nMaintain accurate documentation of student performance and engagement.\nIdentify and escalate academic or learner performance concerns to the Lead Instructor or appropriate staff.\nSupport learner improvement plans and project readiness initiatives when necessary.\nCollaboration & Professional Conduct\nAdhere to institutional policies and instructional team standards.\nFoster an inclusive, respectful, and professional learning environment.\nServe as a role model and mentor for learners pursuing AI and analytics careers.\nCollaborate with instructional staff and program teams to improve the learner experience and program outcomes.\nRepresent the organization professionally when interacting with students, staff, and external stakeholders.\nWork Schedule\nPart-Time instructors typically work 10–15 hours per week depending on cohort schedules.\nThe total weekly part-time commitment is expected to be 8–12 hours.\nWeekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)\nWeekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)\nFlexibility for evening availability is required.\nCompensation\nThe anticipated pay range for this position is $55 – $60 per hour, depending on qualifications and experience.\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.\nEqual Employment Opportunity\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.\nWork Authorization\nApplicants must be legally authorized to work in the United States at the time of application and throughout employment.\n#LI-REMOTE","company":"Fullstackacademy","rawCompany":"fullstackacademy","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T12:57:38.508Z","occupations":[{"code":"13-1151.00","title":"Training and Development Specialists","slug":"training-and-development-specialists"},{"code":"25-3099.00","title":"Teachers and Instructors, All Other","slug":"teachers-and-instructors-all-other"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"611430","title":"Professional and Management Development Training","slug":"professional-and-management-development-training"},{"code":"611420","title":"Computer Training","slug":"computer-training"},{"code":"611699","title":"All Other Miscellaneous Schools and Instruction","slug":"all-other-miscellaneous-schools-and-instruction"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Instructor - Generative AI in Data Analytics","description":"About Us\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.\nSimplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.\nPosition Overview\nThe Part-Time Instructor for Generative AI in Data Analytics plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.\nInstructors facilitate curriculum content, support student learning, and connect Generative AI concepts with real-world analytics and business intelligence applications. 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.\nKey Responsibilities\nDeliver live online training sessions on Generative AI applications in analytics.\nCover key topics including:\nGenerative AI in Analytics\nOverview of Generative AI in data analytics\nRole of AI in modern analytics workflows\nEmerging trends and enterprise applications\nAI-Driven Data Analysis\nData augmentation using AI-generated synthetic data\nGenerative AI for exploratory data analysis\nAI-assisted data interpretation and insight generation\nAI-driven data modeling and forecasting concepts\nAI-Powered Visualization & Reporting\nGenerative AI for tailored data visualization\nAI-assisted dashboarding and reporting workflows\nIntegration of AI into visualization pipelines\nAI & Data Engineering Workflows\nOptimization of ETL processes using AI tools\nAI-assisted workflow automation concepts\nData preparation and transformation using AI-enabled tools\nEthics & Future Trends\nChallenges and ethical considerations in integrating AI into analytics workflows\nResponsible AI usage and governance concepts\nFuture trends and emerging applications in AI-driven analytics\nProvide hands-on demonstrations using relevant AI and analytics tools.\nFacilitate practical exercises, case studies, assignments, and project guidance.\nMentor learners and resolve technical or conceptual queries.\nConduct assessments, evaluations, and feedback sessions.\nMaintain session quality metrics, learner engagement, and reporting standards.\nCollaborate with internal teams on curriculum refinement and content enhancement initiatives.\nRequired Qualifications\nBachelor’s degree in Data Science, Analytics, Computer Science, Artificial Intelligence, or related field\nIndustry experience applying Generative AI or AI-assisted analytics techniques\nStrong understanding of data analytics workflows and tools\nFamiliarity with LLM-based tools, prompt engineering, or AI platforms\nPrior experience delivering online or classroom training preferred\nExcellent communication, facilitation, and presentation skills\nAbility to explain AI concepts through practical analytics use cases\nPreferred Skills\nExperience with Python, SQL, or analytics ecosystems\nExposure to AI platforms and tools such as:\nOpenAI’s ChatGPT\nOpenAI Playground\nHugging Face\nSimilar Generative AI platforms and LLM ecosystems\nExperience integrating AI into visualization, reporting, or analytics pipelines\nCertifications in AI, Data Analytics, or Data Science\nFamiliarity with AI-assisted automation and business intelligence workflows\nKey Competencies\nAbility to bridge AI concepts with practical analytics use cases\nStrong learner engagement and facilitation capability\nStructured and professional virtual delivery approach\nAnalytical and mentoring mindset\nStrong problem-solving and communication skills\nAdaptability to evolving AI technologies and analytics trends\nStudent Support & Mentorship\nProvide individualized student support during live sessions and scheduled office hours.\nMaintain regular communication with students regarding progress, expectations, and milestones.\nRespond to student and staff communications in a timely and professional manner.\nProvide clear, constructive, and timely feedback on assignments, assessments, and projects.\nPerformance Monitoring\nEvaluate student progress based on course deliverables and established grading rubrics.\nMaintain accurate documentation of student performance and engagement.\nIdentify and escalate academic or learner performance concerns to the Lead Instructor or appropriate staff.\nSupport learner improvement plans and project readiness initiatives when necessary.\nCollaboration & Professional Conduct\nAdhere to institutional policies and instructional team standards.\nFoster an inclusive, respectful, and professional learning environment.\nServe as a role model and mentor for learners pursuing AI and analytics careers.\nCollaborate with instructional staff and program teams to improve the learner experience and program outcomes.\nRepresent the organization professionally when interacting with students, staff, and external stakeholders.\nWork Schedule\nPart-Time instructors typically work 10–15 hours per week depending on cohort schedules.\nThe total weekly part-time commitment is expected to be 8–12 hours.\nWeekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)\nWeekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)\nFlexibility for evening availability is required.\nCompensation\nThe anticipated pay range for this position is $55 – $60 per hour, depending on qualifications and experience.\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.\nEqual Employment Opportunity\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.\nWork Authorization\nApplicants must be legally authorized to work in the United States at the time of application and throughout employment.\n#LI-REMOTE","datePosted":"2026-08-15T12:57:38.508Z","dateModified":"2026-08-15T12:57:38.508Z","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":"d41787937c2d45ae159b2cce"},"url":"https://jobsearcher.com/jobs/d41787937c2d45ae159b2cce"}}