Machine Learning Tutor

Machine Learning Tutor

Varsity Tutors

Virginia Beach, VA • Remote

$40/hr

Part-time

Posted 22 days ago


Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring


Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Machine Learning Tutor
  • Advanced Subject Mastery: Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep learning fundamentals. Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI coursework.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down model training pipelines, hyperparameter tuning, and evaluation metric interpretation. Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ROC curves. Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common challenges such as understanding bias-variance tradeoff, selecting appropriate algorithms for problem types, and interpreting model performance beyond accuracy. Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

What Varsity Tutors employees say

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Frequently asked questions

Q: What skills or qualities help someone succeed as a Statistics Tutor?

A: To succeed as a Statistics Tutor, key technical skills include a strong foundation in statistical concepts, data analysis, and mathematical modeling, as well as proficiency in statistical software and programming languages such as R or Python. Soft skills like effective communication, patience, and the ability to break down complex concepts into understandable explanations are also crucial, as they enable tutors to connect with students and facilitate learning. By combining technical expertise with strong interpersonal skills, Statistics Tutors can build trust, foster a supportive learning environment, and help students achieve academic success, ultimately supporting their own career growth and professional development.

Q: What is the career path for a Statistics Tutor?

A: A Statistics Tutor typically progresses through a career path that includes entry-level roles such as Teaching Assistant or Tutor, mid-level positions like Curriculum Developer or Department Head, and senior roles like Program Director or Academic Dean. Key opportunities for skill development and professional growth in this role include learning data analysis and visualization tools, developing expertise in statistical software, and enhancing communication and pedagogical skills. Long-term career prospects for a Statistics Tutor may lead to roles in academia, industry, or government, such as Data Analyst, Quantitative Researcher, or Policy Analyst, or even entrepreneurship in education technology.



Varsity Tutors job posting for a Machine Learning Tutor in Virginia Beach, VA with a salary of $40 Hourly with a map of Virginia Beach location.