Part Time Instructor – Fullstack AI

Remote from: USA
Salary, yearly, USD: 100,000 - 120,000
Department: Education & E-learning
Employment type: Part Time,
Job posted: 2 Jul 2026
Apply before: 2 Aug 2026
Experience level: Midweight
Views / Applies: 139 / 7

Pioneer in immersive code education.

E-learning
2012

AI Summary

Fullstack Academy is seeking a Part-Time Instructor for Fullstack AI to deliver engaging online instruction to adult learners. The role involves teaching live sessions on full stack development with AI integration, including JavaScript, React, Node.js, and generative AI technologies. Instructors provide mentorship, feedback, and support to students, fostering a collaborative learning environment. Candidates need 7+ years of full stack experience and familiarity with AI tools like OpenAI and LangChain. This position offers a competitive salary range of $100,000-$120,000 per year for a part-time commitment.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires 7+ years of experience and expertise in both frontend/backend technologies and generative AI, indicating a high skill level, but teaching part-time reduces the overall difficulty to a 4.

Salary Analysis

AI Insight The offered salary range of $100,000-$120,000 per year for a part-time role is competitive and aligns well with market rates for experienced full stack instructors. The median of $110,000 is near the higher end of typical part-time tech instructor salaries, reflecting the specialized AI expertise required.

Core Skills Required

JavaScript React Node.js Express.js MongoDB RESTful APIs Generative AI Full Stack Development Teaching Mentoring

Cover Letter Sample

I am excited to apply for the Part-Time Instructor for Fullstack AI position at Fullstack Academy. With over 7 years of hands-on experience in full stack development, including extensive work with JavaScript, React, Node.js, and MongoDB, I am confident in my ability to deliver engaging and practical instruction. My background also includes integrating generative AI technologies such as OpenAI APIs and LangChain into real-world applications, which aligns perfectly with the curriculum needs. I am passionate about mentoring adult learners and helping them transition into tech careers through practical, career-oriented education. I look forward to contributing to your team and empowering students with the skills needed for today's technology landscape.

Sample Interview Questions

Describe your experience with integrating generative AI models into full stack applications.

I have integrated OpenAI's GPT models using their API to build a chatbot for a customer support application, and used LangChain to create a document Q&A system. I also have experience with Hugging Face Transformers for text classification and Stable Diffusion for image generation, all deployed via Node.js and React.

How would you handle a student who is struggling with a concept like asynchronous JavaScript?

I would first assess their understanding through targeted questions, then use analogies and visual aids to explain callbacks, promises, and async/await. I'd provide hands-on exercises and encourage them to debug code step-by-step, offering additional office hours if needed.

Explain your approach to teaching responsive design principles in a bootcamp setting.

I focus on mobile-first design, using flexbox and grid for layouts, and media queries for breakpoints. I emphasize real-world examples like building a responsive dashboard, and encourage students to test on multiple devices or using browser dev tools.

How do you stay current with emerging technologies in full stack and AI?

I follow industry blogs, attend webinars, and contribute to open-source projects. I also experiment with new tools like AI-assisted coding and participate in online communities to share knowledge and learn from peers.

Describe a time you had to adapt your teaching style to accommodate diverse learning preferences.

In a previous mentoring role, I had students who preferred visual learning and others who learned by doing. I created both slide decks with diagrams and interactive coding challenges, and allowed students to choose their preferred method during breakout sessions.

About Us

Fullstack Academy is a leading tech training bootcamp in the United States. From coding and artificial intelligence to cybersecurity and data analytics, we offer immersive online programs designed to prepare students for careers in high-growth technology sectors.

Our programs focus on practical, career-oriented education that helps professionals transition into in-demand technology roles. We are passionate about transforming lives through education and empowering students to build successful careers in technology.

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 Fullstack AI 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 technical concepts to real-world industry applications. This role involves teaching live online sessions, mentoring students, providing feedback, and contributing to a collaborative instructional environment.

Classes are delivered 100% online in a synchronous format

Key Responsibilities

Instruction & Student Engagement

Deliver assigned lessons aligned with curriculum learning objectives and session plans.
Facilitate engaging live online instruction using instructional best practices for adult learners.
Provide subject matter expertise in Fullstack AI
Connect course content to real-world industry applications and professional practices.
Encourage collaboration, critical thinking, and problem-solving within the classroom environment.

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.

Required Qualifications

Education and Experience

You are a great candidate for this role if you have:

7+ years of experience in full stack web development, with strong hands-on expertise in frontend and backend technologies.
Proficiency in JavaScript, React, Node.js, Express.js, MongoDB, and RESTful APIs; knowledge of Python frameworks (Django, Flask) is a plus.
Solid understanding of frontend tools and workflows, including HTML5, CSS3, modern JavaScript frameworks, and responsive design principles.
Experience with cloud platforms (AWS, Azure, or GCP) for application deployment, containerization, and CI/CD integration.
Exposure to Generative AI technologies, including OpenAI APIs, LangChain, Hugging Face Transformers, or Stable Diffusion, and experience integrating AI models into full stack solutions.
Familiarity with prompt engineering, LLM-based application design, and AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT).
Strong understanding of software development lifecycle (SDLC), version control (Git), and agile development methodologies.
(Preferred) Prior teaching, mentoring, or technical training experience in academic or professional settings.
(Preferred) A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Excellent communication and presentation skills, with the ability to make complex technical topics engaging and accessible.
A passion for teaching, mentoring, and staying current with emerging trends in AI-driven development and web technologies.
Professionalism, integrity, and empathy in all interactions with learners and team members.

Knowledge, Skills, and Abilities

Conduct live online classes, mentor learners through hands-on coding projects, capstone assignments, and Generative AI integrations, and offer professional guidance based on your real-world experience.
You’ll help bridge the gap between traditional full stack development and the rapidly evolving AI-driven landscape, empowering learners to build intelligent, scalable, and production-ready web applications.
You will engage learners with real-world case studies, code walkthroughs, and best practices in modern development stacks from frontend (React, Angular, or similar) to backend (Node.js, Express.js, or Django)
Demonstrate how to leverage AI tools such as OpenAI APIs, LangChain, and other generative frameworks to streamline development and enhance user experiences.

Work Schedule

Part-Time instructors typically work 10–15 hours per week depending on cohort schedules.

Current AIML cohorts meet during evening hours:

Monday, Wednesday, and Thursday
Sessions typically run 7:00 PM – 10:00 PM CST
Flexibility for evening availability is required.

Compensation

The anticipated pay range for this position is $50 – $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.