The anticipated pay range for this position is $55 – $60 per hour, depending on qualifications and experience.
Employer job description
From Fullstack Academy's posting. “We” and “our” refer to the employer.
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 Overview
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.
Key Responsibilities
Deliver live online training sessions on Generative AI applications in analytics.
Cover key topics including: Generative AI in Analytics
Overview of Generative AI in data analytics
Role of AI in modern analytics workflows
Emerging trends and enterprise applications
AI-Driven Data Analysis
Data augmentation using AI-generated synthetic data
Generative AI for exploratory data analysis
AI-assisted data interpretation and insight generation
AI-driven data modeling and forecasting concepts
AI-Powered Visualization & Reporting
Generative AI for tailored data visualization
AI-assisted dashboarding and reporting workflows
Integration of AI into visualization pipelines
AI & Data Engineering Workflows
Optimization of ETL processes using AI tools
AI-assisted workflow automation concepts
Data preparation and transformation using AI-enabled tools
Ethics & Future Trends
Challenges and ethical considerations in integrating AI into analytics workflows
Responsible AI usage and governance concepts
Future trends and emerging applications in AI-driven 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.
Required Qualifications
Bachelor’s degree in Data Science, Analytics, Computer Science, Artificial Intelligence, or related field
Industry experience applying Generative AI or AI-assisted analytics techniques
Strong understanding of data analytics workflows and tools
Familiarity with LLM-based tools, prompt engineering, or AI platforms
Prior experience delivering online or classroom training preferred
Excellent communication, facilitation, and presentation skills
Ability to explain AI concepts through practical analytics use cases
Preferred Skills
Experience with Python, SQL, or analytics ecosystems
Exposure to AI platforms and tools such as: OpenAI’s ChatGPT
OpenAI Playground
Hugging Face
Similar Generative AI platforms and LLM ecosystems
Experience integrating AI into visualization, reporting, or analytics pipelines
Certifications in AI, Data Analytics, or Data Science
Compensation
Compensation
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.
Equal Employment Opportunity
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.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.