[All remote jobs](https://jobicy.com/jobs.md)Open role[![Fullstack Academy logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/07/cfe8ca87ed55-221.webp)](https://jobicy.com/company/fullstack-academy.md)Remote opportunity at[Fullstack Academy](https://jobicy.com/company/fullstack-academy.md) # Instructor, AI/Machine Learning, Simplilearn (Part time) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/fullstack-academy.md)Share25 Aug 2026Published68Listing views3Application actions25 Sep 2026Apply before Opportunity details ## About this role. AI SummarySimplilearn is seeking a part-time, remote AI/Machine Learning Instructor to deliver live online instruction for adult learners in data science and machine learning. The instructor will teach curriculum-based sessions, guide hands-on exercises, provide timely feedback, and support students through office hours and asynchronous communication. Cohorts typically run for 5-7 months, with evening weekday and/or weekend teaching schedules and an expected commitment of roughly 8-12 hours per week. Candidates need at least eight years of data science, machine learning, or deep learning experience, along with Python, TensorFlow, Keras, and strong instructional communication skills. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 3/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThe role requires deep, current technical expertise across applied data science, machine learning, and deep learning, plus the ability to translate complex concepts for adult learners. It also carries a high learner-support and feedback workload during a fixed live-teaching schedule. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$105,000US market range$90k–$130k0$143k AI insightThe listed annual compensation range is $100,000-$110,000 USD, producing a median of $105,000 USD. This is consistent with the stated $50-$55 hourly rate when annualized, although actual earnings will depend on billable teaching and approved preparation hours in this part-time role. The estimated U.S. market range for comparable experienced remote AI/ML instructor work is approximately $90,000-$130,000 annualized. ## Core skills Skills and capabilities most closely associated with this opportunity. [Artificial Intelligence](https://jobicy.com/jobs?search_keywords=Artificial%20Intelligence.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Deep Learning](https://jobicy.com/jobs?search_keywords=Deep%20Learning.md)[Data Science](https://jobicy.com/jobs?search_keywords=Data%20Science.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[TensorFlow](https://jobicy.com/jobs?search_keywords=TensorFlow.md)[Keras](https://jobicy.com/jobs?search_keywords=Keras.md)[Online Instruction](https://jobicy.com/jobs?search_keywords=Online%20Instruction.md)[Adult Learning](https://jobicy.com/jobs?search_keywords=Adult%20Learning.md)[Student Mentorship](https://jobicy.com/jobs?search_keywords=Student%20Mentorship.md) Sample interview questionsHow would you explain overfitting to an adult learner who is new to machine learning?I would explain that overfitting occurs when a model memorizes patterns and noise in its training data instead of learning patterns that generalize. I would demonstrate it by comparing training and validation performance, then discuss practical controls such as simpler models, cross-validation, regularization, dropout, and additional data. Describe how you would structure a live session on building a machine learning model in Python. I would begin with clear learning objectives and a practical business problem, then walk learners through data inspection, preprocessing, model selection, training, and evaluation in a notebook. I would pause for short checks for understanding, allow time for hands-on work, and end with a review of results, common errors, and a real-world extension exercise. What metrics would you use to evaluate a binary classification model? I would choose metrics based on the business cost of false positives and false negatives. Common measures include precision, recall, F1 score, ROC-AUC, PR-AUC, and a confusion matrix; accuracy alone can be misleading for imbalanced datasets. How do you support a student who is falling behind in a synchronous online cohort? I would first identify the specific barriers through a respectful one-on-one conversation and review of their work. I would set a focused improvement plan with manageable milestones, targeted practice resources, office-hour support, and timely follow-up while maintaining consistent course standards. What is your approach to teaching TensorFlow and Keras effectively? I teach the concepts behind neural networks before introducing framework syntax, then use small, reproducible examples that progress toward realistic applications. I emphasize data shapes, training-validation behavior, debugging techniques, and interpretation of learning curves so students can independently diagnose model performance. 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, 24×7 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. Requirements ABOUT THE ROLE As an Instructor at Simplilearn, you’ll scale your impact as a Data science professional by training the next generation of professionals. You’ll create dynamic learning experiences through deployment of instructional best practices that are student-centered and designed to meet the needs of adult learners. You’ll facilitate lessons from the curriculum and will serve as subject matter expert to students. You will support students through exercises designed to build knowledge and skills and promote grit, problem-solving and a collaborative learning community. Ultimately, you will prepare students for the next chapter in their lives as they seek employment in the field of Data science. This is a part-time, remote role, as classes at Simplilearn are delivered synchronously and are 100% online. A cohort runs for around 5-7 months of instruction, meets on weekday evenings( Monday, Wednesday and Thursday) from 5:30 PM to 8:30 PM PST. The total weekly part-time commitment is expected to be 9-12 hours. 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 ## Working Hours – The total weekly part-time commitment is expected to be 8-12 hours. Weekday – 06:30 PM CST – 09:30 PM CST Weekend – 09:00 AM CST – 12:00 PM CST ## Class Timings – For Weekend sessions, 6-8 hrs of delivery – For Weekday sessions, 9-12 hrs of delivery – 1 prep hour/session for the first cohort and 0.5 prep hour per session for the future cohorts – If content revamped, prep can be at 1 hour/session for the first batch and 0.5 hour per session for the future batches ***Feedback communication/General connects Minutes/hours are not billable ***Prep hour can be billed only for the actual scheduled teaching hours(Induction sessions excluded) ## QUALIFICATIONS: You are a great candidate for this role is you have: * 8 + years of experience in the field of Data science/Machine learning/deep learning * Working knowledge of Applied Data science with Python * Good knowledge of Machine learning * Good knowledge of Deep learning with keras and tensorflow * A passion for teaching and an ability to explain complex technical concepts * A history of choosing a path of integrity * Excellent written and verbal skills Benefits Compensation: The expected compensation for this role for candidates from United States is $50 -$55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate’s unique experience and skillset, and not all candidates will qualify for the top of the salary range. #LI- REMOTE Show more [Apply now >](https://jobicy.com/jobs/151581-instructor-ai-machine-learning-simplilearn-part-time.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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