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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 & AI Productivity Tools plays a key role in delivering engaging and practical learning experiences to adult learners enrolled in our online programs.
Instructors 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.
Classes are delivered 100% online in a synchronous format.
Key Responsibilities
Deliver live online training sessions on Generative AI tools, AI-assisted workflows, and automation concepts.
Cover key topics including:
Practical use of AI assistants for research, documentation, and structured prompting
AI-assisted coding and developer productivity workflows
Repository navigation, debugging, and Git/GitHub workflows using AI tools
Prompt engineering fundamentals and AI interaction strategies
Building assistant-style automations across messaging, files, email/calendar, and APIs
AI-assisted UI planning and Figma workflows
Frontend basics including HTML, CSS, JavaScript, and React concepts
Setup and configuration of developer tools and AI environments
CLI workflows, environment configuration, and deployment basics
Safe usage of API keys, permissions, verification, and cost management
Create structured workshop content including:
Lab guides
Hands-on activities
Practice exercises
Prompts and workflow templates
Provide live demos, guided practice sessions, and hands-on learner support.
Support learners with setup, CLI, configuration, deployment, and environment-related issues.
Mentor learners and resolve technical or conceptual queries.
Conduct assessments, evaluations, or mock sessions when required.
Maintain session quality metrics and learner engagement.
Collaborate with internal teams on curriculum updates, delivery planning, and learner feedback.
Required Qualifications
Bachelor’s degree in Computer Science, Information Technology, Engineering, Design, or related field
10+ years of professional experience in software engineering, AI automation, developer productivity, or technical training
Hands-on experience with AI assistants such as Claude, ChatGPT, Gemini, or similar tools
Working familiarity with AI coding tools including:
Claude Code
OpenClaw
Cursor
GitHub Copilot
Codex
Similar AI coding agents
Strong comfort with CLI tools, VS Code, Git/GitHub, APIs, and JSON/YAML/Markdown workflows
Ability to build simple AI-powered workflows using tools, files, APIs, and integrations
Familiarity with frontend concepts including Figma, HTML, CSS, JavaScript/React, and responsive UI principles
Comfort with Linux/VPS setup, SSH, environment variables, and deployment workflows
Excellent communication, facilitation, and presentation skills
Ability to simplify technical concepts into practical, outcome-focused learning experiences
Preferred Skills
Experience designing and delivering hands-on AI or automation workshops
Background in developer productivity, AI workflow consulting, or automation engineering
Experience using AI-assisted development workflows in real-world projects
Exposure to prompt engineering, agentic workflows, and automation integrations
Familiarity with cloud platforms and deployment pipelines
Experience mentoring technical teams or learners in online environments
Preferred Background
Candidates with experience in the following areas are highly preferred:
AI workflow consultants
Developer productivity trainers
AI automation engineers
Software engineers using AI coding tools
Frontend engineers with Figma experience
Product designers with AI tooling exposure
DevOps engineers
Technical trainers specializing in GenAI and automation
Key Competencies
Strong learner engagement and facilitation skills
Ability to explain complex AI and technical concepts clearly
Structured and professional virtual delivery
Practical, hands-on teaching approach
Problem-solving and mentoring mindset
Strong collaboration and communication skills
Adaptability to rapidly evolving AI tools and workflows
Student Support & Mentorship
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 and assessments.
Performance Monitoring
Evaluate student progress based on course deliverables and established grading rubrics.
Maintain accurate documentation of student performance and engagement.
Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.
Support performance improvement plans when necessary.
Collaboration & Professional Conduct
Adhere to institutional policies and instructional team standards.
Foster an inclusive, respectful, and professional learning environment.
Serve as a role model and mentor for students.
Collaborate with instructional staff and program teams to improve the student learning experience.
Represent the organization professionally when interacting with students, staff, and external stakeholders.
Work Schedule
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.
Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)
Flexibility for evening availability is required.
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.
