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Machine Learning Part Time Jobs (NOW HIRING)

This is a part-time, work-study-based opportunity for active students in master's and PhD programs. What You Will Do: * Develop and deploy machine learning and large language models. * Build and ...

This is a part-time, work-study-based opportunity for active students in master's and PhD programs. What You Will Do: * Develop and deploy machine learning and large language models. * Build and ...

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Machine Learning Part Time information

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$25.5K

$42.6K

$88K

How much do machine learning part time jobs pay per year?

As of Jul 5, 2026, the average yearly pay for machine learning part time in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the Machine Learning Part Time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

More about Machine Learning Part Time jobs
What cities are hiring for Machine Learning Part Time jobs? Cities with the most Machine Learning Part Time job openings:
What are the most commonly searched types of Machine Learning jobs? The most popular types of Machine Learning jobs are:
What states have the most Machine Learning Part Time jobs? States with the most job openings for Machine Learning Part Time jobs include:
Infographic showing various Machine Learning Part Time job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Instructor, AI/Machine Learning, Simplilearn (Part time)

Instructor, AI/Machine Learning, Simplilearn (Part time)

Fullstack Academy

Remote

$50 - $55/hr

Part-time

Posted 27 days ago


Job 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.
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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