About this role.
Simplilearn 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
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Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
3/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
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.
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.
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.
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.
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.
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