Instructor - Generative AI in Data Analytics
Fullstack Academy · United States ·
- Work mode
- Remote
- Employment
- Part time
- Category
- Data analytics
Fullstack Academy · United States ·
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.
The 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.
Deliver live online training sessions on Generative AI applications in analytics.
Cover key topics including:
Generative AI in Analytics
Provide 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.
Provide 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.
Evaluate 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.
Adhere 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.
Part-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.
The 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.
We 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.
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
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