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Machine Learning Part Time Jobs in Pennsylvania (NOW HIRING)

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... Implement statistical and machine learning techniques to augment graph edge properties in ARAX;

... is a part-time, hourly position (approximately 5-10 hours per week, December 2025 - June 2026 ... AI/Machine Learning Mentors will help design and lead engaging, age-appropriate activities ...

$39K - $49K/yr

Apply machine learning models to analyze data * Collaborate with faculty and graduate students to support ongoing research projects * Document code, workflows, and findings in a clear and ...

The Department of Civil and Environmental Engineering is in search of a part-time undergraduate ... This project is developing Machine-Learning based methods to help improve the methodology and make ...

$21/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time Research Assistant/Programmer to assist with robotics and machine learning research as well as data ...

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Showing results 1-20

Machine Learning Part Time information

See Pennsylvania salary details

$25.6K

$42.7K

$88.2K

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

As of Jun 22, 2026, the average yearly pay for machine learning part time in Pennsylvania is $42,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 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.

What are the most commonly searched types of Machine Learning jobs in Pennsylvania? The most popular types of Machine Learning jobs in Pennsylvania are:
What are popular job titles related to Machine Learning Part Time jobs in Pennsylvania? For Machine Learning Part Time jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Pennsylvania look for? The top searched job categories for Machine Learning Part Time jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Machine Learning Part Time jobs? Cities in Pennsylvania with the most Machine Learning Part Time job openings:
Infographic showing various Machine Learning Part Time job openings in Pennsylvania 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 $42,686 per year, or $20.5 per hour.

Part-Time QA Laboratory Intern

Penn State University

University Park, PA • On-site

Part-time

Posted 14 days ago


Penn State University rating

7.9

Company rating: 7.9 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

176th of 539 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Penn State Berkey Creamery is currently seeking a part-time intern to assist in the Quality Assurance Lab. This is a hands-on position that requires active physical and mental participation, with or without accommodation. Working hours may possibly involve late evenings, early mornings and weekend hours on occasions as schedules accommodate.
Job Duties:
  • Assisting with testing (analytical, microbiological) and evaluating (organoleptic) and release of products
  • Managing ingredient and finished product documents including specifications, recipes, nutritional labels, standard operating procedures and other documentation related to food quality and safety in support of the manufacturing of dairy products

Requirements and qualifications:
  • High attention to detail
  • Must be available to work weekends
  • The student should have food science experience or similar exposure to food processing at the lab, pilot plant or manufacturing plant level
  • The student must be able to work as part of a team as well as with a diversified group of people
  • The candidate selected must be able to follow Good Manufacturing Practices for the food industry

BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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