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Machine Learning Part Time Jobs in South Carolina

Hill House Home

Barista (Part-Time)

Charleston, SC · On-site

$20/hr

... espresso machine, coffee brewer, coffee grinder, etc Who you are: * A minimum of 1 year of ... Embraces a culture of learning and advocacy. * Has lived experiences with people from different ...

TVH Parts Holding NV

Order Filler Part Time

Greer, SC · On-site

$18/hr

Opportunities for professional development, including access to LinkedIn Learning and many in-house ... machinery. Our 4600 colleagues are the strength, heart and soul of TVH. We are a dynamic team ...

Hill House Home

Barista (Part-Time)

Charleston, SC · On-site

$20/hr

... espresso machine, coffee brewer, coffee grinder, etc Who you are: * A minimum of 1 year of ... Embraces a culture of learning and advocacy. * Has lived experiences with people from different ...

Goodwill of Central & Southern Indiana

$15/hr

We believe in continuous learning and professional development. * Supervisory Expertise - Oversees ... Uses hands to grasp, carry, feel, or touch products and machinery. Has the ability to move and lift ...

Booz Allen Hamilton, Inc.

$99K - $225K/yr

... IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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All JobsMachine Learning JobsMachine Learning Part Time JobsMachine Learning Part Time Jobs in South Carolina

Machine Learning Part Time information

See South Carolina salary details

$23.7K

$39.5K

$81.7K

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

As of Aug 31, 2026, the average yearly pay for machine learning part time in South Carolina is $39,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,700.00 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 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 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 most commonly searched types of Machine Learning jobs in South Carolina?

The most popular types of Machine Learning jobs in South Carolina are:

What are popular job titles related to Machine Learning Part Time jobs in South Carolina?

For Machine Learning Part Time jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Machine Learning Part Time jobs in South Carolina look for?

The top searched job categories for Machine Learning Part Time jobs in South Carolina are:

Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $39,516 per year, or $19 per hour.

019559 Instructor: MACHINE TOOL TECHNOLOGY

Greenville Technical College

Greenville, SC • On-site

Full-time, Part-time

Posted 5 days ago

Job description

Notice of Job Opening
POSTING DATE:
8/26/2026
POSITION:
019559 Instructor: MACHINE TOOL TECHNOLOGY
DEPARTMENT:
MTT-Machine Tool Tech
APPLICATION CLOSING DATE:
9/9/2026
Classification Code UG70 / Slot 0000
For ALL Faculty Positions - An unofficial/student copy of your transcript must be submitted along with your on-line application if the position you are applying for requires a degree and/or certificate. Official transcripts are required when you begin employment.
For Staff Positions - If you are applying for a position that requires a degree and/or certificate, an official transcript will be required when you begin employment.
***International transcripts must be evaluated through World Education Services***
If you are applying for a position that requires current Licensures/Certificates- a copy must be submitted along with your on-line application. Official current licensures/certificates will be required when you begin employment.
Please feel free to submit any electronic documents with your on-line application as an attachment.
ANTICIPATED SALARY RANGE:
Salary commensurate with experience within state guidelines
HOURS:
40
CAMPUS:
CMI Campus
GENERAL RESPONSIBILITIES
In this challenging role, you will be supporting the MTT-Machine Tool Tech department at Greenville Technical College.
The employee works under the general supervision of the MTTAcademic Program Director and will follow the policies and regulations setforth by the College as described in the policy and procedures manual. He/she will be expected to work as a professional independent of close supervisionbut will have easy access to their supervisor and other specialists forassistance.
Duties may include any or all of the following:
  • Develop and teach Machine Tool and CNC curricula courses
  • Demonstrate lab techniques involved and assist students in the performance of curriculum-based student labs
  • Provide and apply safe work habits, practices, and rules in all MTT/CNC lab areas
  • Assist in curriculum development and revision
  • Prepare and present material at a pace that will foster student understanding and will, at the same time, permit coverage of vital concepts
  • Participate in recruitment of students, and academically advise students
  • Maintain competence through continuous professional development
  • Meet deadlines for record keeping and maintain scheduled office hours
  • Follow guidelines outlined in the part-time faculty manual
  • Perform other tasks independently as needed

Greenville Technical College is one of the largest institutions of higher learning in South Carolina and we invite you to consider becoming a part of our team!
MINIMUM QUALIFICATIONS
An associate or bachelor's degree in mechanical technology, vocational technical education, industrial technology, or a related field and three (3 to 5) years' experience in the field of study or an associate degree in machine tool technology, demonstrated competencies in machine tool technology and five (5) years or experience in the field
PREFERRED QUALIFICATIONS
• Bachelor's degree in manufacturing/engineering technology, Technology Education, or a related field and a minimum of three years of recent, full-time related occupational experience• Multi-axis experience and fluency across current shop platforms, Haas, Okuma, Mazak, including live tooling, probing (e.g., Renishaw Inspection Plus), and Macro B.• CAM proficiency (Mastercam preferred) and CAD literacy.• Prior teaching, corporate-training, or apprenticeship-instruction experience at the post-secondary or industry level • Demonstrated proficiency in manual milling, turning and surface grinding; CNC milling and turning programming and operation, blueprint reading, GD&T, Coordinate Measurement Machine (CMM)] and precision measurement.
Greenville Technical College is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Disabled/Veterans are encouraged to apply (EOE/AA/M/F/D/V)
It is the policy of Greenville Technical College, in accordance with applicable laws, to recruit, hire, train, and promote people throughout all college levels, without regard to race, color, religion, sex, age, disability, sexual orientation, or national origin, or any other basis prohibited by applicable law. All employment decisions shall be consistent with the principle of equal employment opportunity.
*Greenville Technical College is a tobacco-free institution*

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