Instructor, Applied Gen AI Specialization(AGS), Simplilearn (Part time) at Fullstack Academy

, , United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

50.0

Posted On

24 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, Data Science, Python, Natural Language Processing, Computer Vision, Deep Learning, Generative AI, TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib, Teaching, Mentoring

Industry

Education Administration Programs

Description

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. Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally 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. 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 TensorFlow, PyTorch, and Scikit-learn. Proficiency in Python and experience with data handling libraries such as NumPy, Pandas, and Matplotlib. Practical experience with Natural Language Processing (NLP) and Computer Vision, including use of pre-trained models and transfer learning techniques. Familiarity with Generative AI models such as GPT, BERT, Stable Diffusion, and techniques like Transformers, RLHF, RAG, and prompt engineering. A strong applied background in using AI for business or research applications—experience in implementing or fine-tuning generative or predictive models is highly valued. (Preferred) Prior teaching, mentoring, or training experience in an academic or corporate environment. (Preferred) Advanced degrees such as MTech/MS/PhD in Computer Science, Artificial Intelligence, or a related field, or relevant certifications in Data Science/AI. Excellent communication and presentation skills, with the ability to simplify complex AI topics for diverse learners. A genuine passion for teaching, mentoring, and staying updated with the latest advancements in AI and generative technologies. Compensation: The expected compensation for this role is $50 per hour for candidates who fulfill the qualifications listed. Candidates with advanced qualifications or domain expertise are encouraged to apply as well. All final offers will be determined based on individual experience, skillset, and alignment with the program needs. Not all candidates will qualify for the top of the salary range.

Responsibilities

In this role, you will deliver content from the Applied AI Program, conduct live online sessions, and mentor learners on applying AI techniques to solve real-world problems. You will create a positive learning environment and provide individualized support to students.