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Machine Learning Part Time information

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 Minnesota?

The most popular types of Machine Learning jobs in Minnesota are:

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

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

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

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

Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Design Peer Tutor

Saint Paul, MN

University of St Thomas
Education • 1 - 5K employees
Learn more about University of St Thomasexternal

$16.50/hr

Part-time

Posted 9 days ago

Key responsibilities

  • Provide in-lab tutoring and guidance to students working on machine design projects.

  • Assist students with CAD modeling, technical drawings, and interpretation of engineering specifications.

  • Support understanding and application of machine design concepts such as stress analysis, mechanisms, fasteners, and material selection.

University Of St. Thomas (Minnesota) rating

8.1

Company rating: 8.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

172nd of 633 rated colleges and universities

Job description

OVERVIEW

JOB TITLE: Machine Design Peer Tutor

LOCATION: St. Paul Campus

PAY RATE: $16.50/ hour

HOURS: Must be available to support lab times Tuesday or Thursday 8-11:35am

JOB SUMMARY: We are seeking a responsible and technically proficient student to serve as a Peer Tutor for the Machine Design Laboratory. The Peer Tutor will support student learning in applied mechanical design concepts, including analysis, CAD modeling, fabrication, and experimental validation of machine components and systems. This role focuses on reinforcing engineering fundamentals, promoting safe and effective lab practices, and assisting students as they develop and test machine design projects. The Peer Tutor will work closely with the course instructor and lab staff to enhance student learning and lab execution.

Hiring Official: Lauren Deonauth

Email: patr0017@stthomas.edu

ESSENTIAL FUNCTIONS:

  • Provide in-lab tutoring and guidance to students working on machine design projects.
  • Assist students with CAD modeling, technical drawings, and interpretation of engineering specifications.
  • Support understanding and application of machine design concepts such as stress analysis, mechanisms, fasteners, and material selection.
  • Reinforce proper use of machine shop tools, fabrication equipment, and laboratory safety procedures.
  • Assist students in troubleshooting design, assembly, and testing issues under faculty direction.
  • Communicate recurring student challenges and lab needs to instructional staff to improve course delivery.

TRANSFERABLE SKILLS

  • Mechanical design principles and machine element analysis
  • CAD modeling and engineering drawing interpretation
  • Hands-on fabrication and machine shop safety practices
  • Applied problem-solving in design, assembly, and testing
  • Technical communication and peer instruction
  • Understanding of design iteration and engineering validation processes
  • Collaboration in an instructional lab environment
QUALIFICATIONS

QUALIFICATIONS

  • Current student, pursuing a BS or MS degree in Mechanical Engineering or related field graduating approximately June 2027.
  • Completed coursework in Machine Design.
  • Demonstrated proficiency in mechanical design principles, including stress analysis, failure theories, fasteners, mechanisms, and material selection.
  • Proficiency in CAD software (e.g., SolidWorks, Fusion 360, Creo, or equivalent)
  • Ability to interpret and evaluate engineering drawings, specifications, and technical documentation
  • Strong communication skills with the ability to explain complex engineering concepts in a clear and structured manner
  • Commitment to enforcing laboratory safety procedures and best practices
  • Must be available to support lab times Tuesday or Thursday 8-11:35am

ELIGIBILITY

To be eligible for student employment, St. Thomas students must be degree seeking at the undergraduate, graduate and doctoral levels. Students must be actively enrolled at least part-time in courses for credit. For further information on eligibility please see the Student Employee Toolkit on One StThomas. 

The University of St. Thomas is an Equal Opportunity Employer, including disability and protected veteran status.

Employment Type: OTHER

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