Instructor - Masterclass, GenAI/Agentic AI Workshops
fullstack academyPittsburgh (PA)
$55 - $60 per hour
Apply (opens in a new tab)Instructor - Masterclass, GenAI/Agentic AI Workshops
Posted today
fullstack academyPittsburgh (PA)
SENIORITY
Mid
SALARY
$55 - $60 per hour
About the role
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.
- 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. 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. #LI-REMOTE
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.