Part Time Instructor - Fullstack AI

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.

Work Authorization

Applicants must be legally authorized to work in the United States at the time of application and throughout employment.