Instructor - Masterclass, GenAI/Agentic AI Workshops

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.

Originally posted on Himalayas