Instructor Applied Gen AI Specialization; AGS

Position: Instructor Applied Gen AI Specialization(AGS
Title – Applied Gen AI Trainer (Part time/Contract)

Experience:

7+ years

Mode of work:
Remote

About:
Simplilearn

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.

ABOUT

THE ROLE

As an Instructor at Simplilearn, you will play a key role in shaping the future of aspiring Artificial Intelligence professionals. Specifically, you will deliver content from our Applied AI Program, designed to help learners master the practical applications of AI, machine learning, and generative AI technologies across industries.

In this role, you will conduct live online sessions, guide learners through hands-on projects and capstone assignments, and mentor them on applying AI techniques to solve real-world problems. You’ll help bridge the gap between theoretical understanding and industry implementation, empowering professionals to design, train, and deploy AI-driven solutions effectively.

You will engage with learners through interactive discussions, case studies, and demonstrations covering topics such as machine learning, deep learning, natural language processing, computer vision, and generative AI. By drawing on your professional experience and practical insights, you’ll inspire learners to stay ahead in an AI-driven world.

This is a part-time, remote role. All sessions are conducted live online in an interactive, instructor-led format.

Training schedule:

- The total weekly part-time commitment is expected to be 8-12 hours.
- Weekday - 06:00 PM IST - 09:00 PM IST
- Weekend - 08:30 AM IST - 11:30 PM IST

RESPONSIBILITIES

In this role, you will:

- Create a positive, professional and inclusive learning environment, by:
- Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn
- Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences
- Managing regular communication with students to align on progress, expectations, celebrate milestones and address concern areas
- Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication
- Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by:
- Providing constructive and timely feedback to students in the cohort
- Assisting in the management of Performance Action Plans for individual students who need additional support
- Serve as role model for students and as an ambassador for our brand, by:
- Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public
- Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources
- Encouraging teamwork and seek feedback for continuous improvement

QUALIFICATIONS

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

- 7+ years of industry experience in Artificial Intelligence, Machine Learning, or Data Science, with hands-on expertise in building and deploying AI models.
- A strong understanding of core AI/ML concepts, including supervised and unsupervised learning, deep learning architectures (CNNs, RNNs, LLMs), and modern frameworks like Tensor Flow, PyTorch, and Scikit-learn.
- Proficiency in…