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Machine Learning Part Time Jobs in Michigan (NOW HIRING)

Jackson College

Cleaning Team Member Part-Time

Jackson, MI · On-site

$16.50 - $17.50/hr

Team members help maintain high cleanliness standards while supporting a healthy learning ... machinery, and related equipment that support consistent service quality and operational excellence ...

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Machine Learning Part Time information

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$22.2K

$37.1K

$76.7K

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

As of May 29, 2026, the average yearly pay for machine learning part time in Michigan is $37,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,100.00 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 are the most commonly searched types of Machine Learning jobs in Michigan? The most popular types of Machine Learning jobs in Michigan are:
What job categories do people searching Machine Learning Part Time jobs in Michigan look for? The top searched job categories for Machine Learning Part Time jobs in Michigan are:
What cities in Michigan are hiring for Machine Learning Part Time jobs? Cities in Michigan with the most Machine Learning Part Time job openings:
Machine Learning Part Time jobs near you
Part Time Instructor, Mechanical Operations Technology/Machining

Part Time Instructor, Mechanical Operations Technology/Machining

Mott Community College

Flint, MI

$1.12K/wk

Full-time, Part-time

Posted 12 days ago

Job description

Posting Details
This is a position we anticipate filling for future semesters. Specific part-time teaching needs for future semesters may not be known until the end of class registration.
Position Information
Posting Number
Position Title
Part Time Instructor, Mechanical Operations Technology/Machining
Employee Group
PT Faculty
Starting Salary
$1,124
Compensation Details
To view the benefits summary, go to
http://www.mcc.edu/hr/pdf/Benefit_Summary-Faculty_PT.pdf
Position Summary Information
Position Summary
Purpose, Scope & Dimension of Job:
Faculty facilitate student learning and initiate and participate in efforts to consistently improve the level of student success.As learning facilitators, faculty consistently assess learning outcomes and their own teaching effectiveness (pedagogy). As professionals, faculty adhere to the ethical standards of their profession. Where applicable, faculty maintain licensure and certifications.
Specific Teaching Assignment:
Faculty member will be responsible for teaching classes in some of the following areas: Machining, CNC, Mastercam, Metallurgy and Materials.
Supervisory Responsibility:
None
Minimum Requirements
Minimum Required Knowledge, Skills, and Abilities:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
  • Bachelor's Degree in Machining, Manufacturing, Mechanical, Applied Technology, Industrial/Technical, Materials, Metallurgy, Engineering or a related field. (Related fields must include 30 credit hours of Mechanical coursework.)
    • OR Bachelor's Degree with a Mechanical/Manufacturing related Associate's Degree
    • OR Bachelor's Degree with 30 credit hours in Mechanical/Manufacturing related courses
    • OR Bachelor's Degree and advanced professional credential as a Machining/Mechanical related Journeyperson.
    • OR Associate's Degree in the field and 10 years (full-time equivalency) of practical experience in the mechanical field and an advanced credential as a Machining/Mechanical Journeyperson. (If you do not have a Bachelor's Degree, than you must be willing to enroll and make continuous progress toward the completion of a Bachelor's degree within 5 years.)
    • Bachelor's Degree must be from an accredited institution.*
  • Two (2) years of (full-time equivalency) practical experience needed in mechanical fields.
  • Work experience is needed in the courses that are taught.

Additional Desirable Qualifications
Additional Preferred Qualifications:
  • College teaching experience.
  • Master's Degree in Manufacturing, Applied Technology, Career & Technical Education or related field.
  • Familiarity with the use of competency-based modularized courseware and instruction.
Physical Requirements/Working Conditions
  • The employee must be able to move about 2/3 of the time and be stationary about 1/3 of the time. They are required to be mobile around campus for participant involvement/activities.
  • They must be able to converse with individuals on a regular basis with the ability to read, analyze, and interpret their needs via phone conversations, face-to-face conversations, or written documentation.
  • The employee must be able to utilize all programs on a computer independently and efficiently.
  • They must be able to present information in an instructional or classroom setting and respond to questions from groups.
  • Must be able to tolerate frequent exposure to a wide variety of chemicals which are common to the industry. Must be able to handle and mix chemicals properly and safely; and wear appropriate PPE.

Work Schedule
It is customary for most of the classes in the technology division to run primarily early in the morning or during the evening hour. Normally starting at 5pm.
Faculty are required to make additional provisions for student consultations as may be necessary and reasonable.
Additional Information
Must be available to teach onsite; opportunities do not exist to teach online courses only.
This is a position we anticipate filling for future semesters. Specific part-time teaching needs for future semesters may not be known until the end of class registration.
If selected for an interview, candidates may need to provide a professional portfolio. Specific instructions will be shared prior to the interview.
Visa sponsorship is not available.
Additional Application Deadline Information
The College reserves the right to close the recruitment process once a sufficient applicant pool has been identified.
Application Deadline
Equal Opportunity Summary

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