About Us Simplilearn 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.Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.Position OverviewThe 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. Instructors 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.Classes are delivered 100% online in a synchronous format.Key ResponsibilitiesDeliver live online training sessions on Generative AI applications in analytics.Cover key topics including: Generative AI in AnalyticsOverview of Generative AI in data analyticsRole of AI in modern analytics workflowsEmerging trends and enterprise applicationsAI-Driven Data AnalysisData augmentation using AI-generated synthetic dataGenerative AI for exploratory data analysisAI-assisted data interpretation and insight generationAI-driven data modeling and forecasting conceptsAI-Powered Visualization & ReportingGenerative AI for tailored data visualizationAI-assisted dashboarding and reporting workflowsIntegration of AI into visualization pipelinesAI & Data Engineering WorkflowsOptimization of ETL processes using AI toolsAI-assisted workflow automation conceptsData preparation and transformation using AI-enabled toolsEthics & Future TrendsChallenges and ethical considerations in integrating AI into analytics workflowsResponsible AI usage and governance conceptsFuture trends and emerging applications in AI-driven analyticsProvide hands-on demonstrations using relevant AI and analytics tools.Facilitate practical exercises, case studies, assignments, and project guidance.Mentor learners and resolve technical or conceptual queries.Conduct assessments, evaluations, and feedback sessions.Maintain session quality metrics, learner engagement, and reporting standards.Collaborate with internal teams on curriculum refinement and content enhancement initiatives.Required QualificationsBachelor’s degree in Data Science, Analytics, Computer Science, Artificial Intelligence, or related fieldIndustry experience applying Generative AI or AI-assisted analytics techniquesStrong understanding of data analytics workflows and toolsFamiliarity with LLM-based tools, prompt engineering, or AI platformsPrior experience delivering online or classroom training preferredExcellent communication, facilitation, and presentation skillsAbility to explain AI concepts through practical analytics use casesPreferred SkillsExperience with Python, SQL, or analytics ecosystemsExposure to AI platforms and tools such as:OpenAI’s ChatGPTOpenAI PlaygroundHugging FaceSimilar Generative AI platforms and LLM ecosystemsExperience integrating AI into visualization, reporting, or analytics pipelinesCertifications in AI, Data Analytics, or Data ScienceFamiliarity with AI-assisted automation and business intelligence workflowsKey CompetenciesAbility to bridge AI concepts with practical analytics use casesStrong learner engagement and facilitation capabilityStructured and professional virtual delivery approachAnalytical and mentoring mindsetStrong problem-solving and communication skillsAdaptability to evolving AI technologies and analytics trendsStudent 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, assessments, and projects.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 learner performance concerns to the Lead Instructor or appropriate staff.Support learner improvement plans and project readiness initiatives 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 learners pursuing AI and analytics careers.Collaborate with instructional staff and program teams to improve the learner experience and program outcomes.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.
