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Machine Learning Part Time Jobs in Ohio (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer

Beavercreek, OH · On-site

$99K - $225K/yr

Experience with natural language processing, text mining, or machine learning techniques * Secret ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Miami University

Horse Groom Part Time

Oxford, OH · On-site

Knowledge of and experience with farm machinery * Knowledge of equipment and procedures used in ... We defend the freedom of inquiry that is the heart of learning and combine that freedom with the ...

City of Hialeah, FL

Cashier (P/T)

Dent, OH

$14 - $50/hr

Skill in the operation of cash registers, validating cash machines, adding machines.Skill in ... learning and personal development, employees are able to grow, flourish, and make a difference in ...

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Machine Learning Part Time information

See Ohio salary details

$24.2K

$40.5K

$83.7K

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

As of Jun 18, 2026, the average yearly pay for machine learning part time in Ohio is $40,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,700.00 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.

What are the most commonly searched types of Machine Learning jobs in Ohio? The most popular types of Machine Learning jobs in Ohio are:
What are popular job titles related to Machine Learning Part Time jobs in Ohio? For Machine Learning Part Time jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Ohio look for? The top searched job categories for Machine Learning Part Time jobs in Ohio are:
Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Ohio as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,484 per year, or $19.5 per hour.
Computer Aided Manufacturing - Machining - Part-Time (Adjunct) Faculty

Computer Aided Manufacturing - Machining - Part-Time (Adjunct) Faculty

Sinclair Community College

Dayton, OH • On-site

Part-time

Posted 15 days ago

Job description

Position Information
Position Information (Default Section)
Job Title
Computer Aided Manufacturing - Machining - Part-Time (Adjunct) Faculty
Location
Main Campus - Dayton, OH
Job Number
05216
Department
Computer Aided Manufacturing
Job Category
Adjunct Faculty (Part-time)
Job Type
Part-Time
Status
Regular
Job Open Date
05/18/2026
Resume Review Date
Ongoing
Closing Date
08/31/2026
Open Until Filled
No
Position Summary
The world of manufacturing can no longer be thought of as a dingy, dark world of dull uninteresting jobs. Manufacturing today drives all other technologies and is bringing the trade skills of the past and joining them with the technology of today and the future. Anyone can become a part of this fast-growing field with Sinclair's Computer Aided Manufacturing programs.
The Computer Aided Manufacturing Department is currently seeking an adjunct faculty member to teach Machining courses for the upcoming term. The starting pay for Adjunct Faculty is $1,016 per credit hour assigned to teach. For the full list of available courses to teach, please explore our course catalog
This position is open only to applicants who reside in Ohio, Indiana, or Kentucky, or who are able to perform work within one of these states. Sinclair Community College restricts part-time employment to approved states due to employment, tax, and benefits compliance requirements.
Why work for Sinclair College?
The following are some of the benefits that part-time/adjunct faculty with Sinclair College receive:
  • Tuition waiver for 3 credit hours per semester
  • Structured opportunity for advancement and promotion
  • Support for continued professional development and education
  • STRS pension participation, with 14% employer contribution
  • High quality programs and events for work-life balance
  • Faculty mentoring available to aide transition from professional work to a teaching role

*SCC has the right to revise this position description at any time. This position description does not represent in any way a contract of employment.
Principal Accountabilities
  • Adjunct faculty teach curriculum developed by the department
  • Plan and organize instruction in ways which maximize student learning
  • Prepare and provide syllabi for all assigned sections in accordance with department and divisional policies
  • Employ appropriate teaching and learning strategies, use available instructional technology when appropriate
  • Modify, where appropriate, instructional methods and strategies to meet diverse student's needs
  • Support classroom and online efforts to promote student success
  • Evaluate and return student work in a timely manner to promote learning
  • Maintain accurate records of student progress
  • Submit final grade rosters according to established deadlines
  • Maintain confidentiality of student information
  • Adjunct Faculty cannot be assigned to teach more than the maximum of 12 credit hours per semester

Requirements
  • Minimum of a bachelor's degree in the Computer Aided Manufacturing or related field required, OR must meet the specific requirements associated with Tested Experience
    • Tested Experience Requirements:
      • Minimum of a high school diploma or equivalent required AND
      • Must have widely accepted license or certification in the industry (ex. Journeyman card) required AND
  • Must have a minimum of five years of work experience in the field required
  • Collegiate or university teaching experience specifically teaching a course in the field preferred
  • Precision machining and CNC machining experience preferred
  • Demonstrated commitment to improving student learning through innovative strategies shown to help students succeed at the course and program level
  • Effective communication skills and interpersonal skills with the capacity to work successfully in a culturally diverse college community
  • Must possess demonstrated skills in using modern educational technology, including multimedia-based instruction

Official transcripts for all post-secondary degrees (if applicable) and successful completion of a background check will be required prior to date of hire.

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