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Part Time Machine Learning Research Scientist Jobs

Tamus

Research Scientist

College Station, TX · On-site

Job Title Research Scientist Agency Texas A&M University Department Teaching, Learning And Culture ... This is a temporary, part-time (5 hours per week) position ending December 2026. What You Need to ...

University of Utah

Research Scientists (non-PhD)

Campus, IL · On-site

$64K - $147K/yr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary Is ... Responsibilities Research Scientist, II Design and conduct experimental research and investigations ...

University of Utah

Research Scientists (non-PhD)

Campus, IL · On-site

$64K - $147K/yr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary Is ... Responsibilities Research Scientist, II Design and conduct experimental research and investigations ...

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$174K

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

As of Jun 5, 2026, the average yearly pay for part time machine learning research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Machine Learning Research Scientist, and why are they important?

To thrive as a Part Time Machine Learning Research Scientist, you typically need strong skills in mathematics, statistics, and programming (especially Python), as well as an advanced degree in a relevant field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with version control systems, and knowledge of data preprocessing tools are essential. Critical thinking, effective communication, and time management are important soft skills for succeeding in a flexible, research-driven environment. These abilities enable you to develop innovative models, collaborate efficiently, and contribute meaningful insights while balancing part-time responsibilities.

How does working part-time as a Machine Learning Research Scientist impact collaboration and project involvement?

As a part-time Machine Learning Research Scientist, you’ll typically coordinate closely with full-time team members to ensure smooth project handoffs and clear communication. While you may have a more flexible schedule, regular check-ins and collaborative meetings are essential to stay aligned with research goals and ongoing experiments. You may focus on specific research components or model development tasks that fit within your available hours, and it’s common to leverage digital tools for asynchronous collaboration. This structure allows you to contribute meaningfully while balancing other commitments, but staying proactive about updates and documentation is key to effective teamwork.

What does a Part Time Machine Learning Research Scientist do?

A Part Time Machine Learning Research Scientist conducts research and development in the field of machine learning while working less than full-time hours. Their responsibilities typically include designing experiments, analyzing data, developing new algorithms, and collaborating with other researchers or engineers. They often work on specific projects or problems, contributing their expertise in machine learning to advance knowledge or improve products. This role allows for flexible scheduling, making it suitable for students, professionals with other commitments, or those seeking a better work-life balance.
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Part Time Machine Learning Research Scientist jobs near you
Infographic showing various Part Time Machine Learning Research Scientist job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 97% Full Time, and 1% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Research Scientist

Texas A&M University

College Station, TX

Part-time

Posted 29 days ago

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

192nd of 532 rated colleges and universities

Job description

Job Title

Research Scientist

Agency

Texas A&M University

Department

Teaching, Learning And Culture (Tlac)

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Temporary/Casual Staff (Fixed Term)

Job Description

A Glimpse of the Job

The Research Scientist acts as a manager for the NSF Noyce project "Strengthening Mathematics Instructions for Elementary & Middle Schools" with essential responsibilities in data management, report preparation, Noyce scholar recruitment and retention, professional development and school visit arrangements.

Please note:

  • This position is grant funded which is renewed under the provisions of the grantor of the agreement.

  • This is a temporary, part-time (5 hours per week) position ending December 2026.

What You Need to Know

Salary: Compensation will becommensurateto the selectedhire'sexperience.

Cover Letter/Resume: A cover letter and resume are strongly recommended and will help in our review. You may upload themonthe application under the CV/Resume section.

Opportunities to Contribute

Project Data Management and Report Preparation

  • Manage and maintain the project's data collected from Noyce scholars to help ensure the project's compliance with the NSF requirements.

  • Assist the project's PI in developing, preparing, and managing the project's annual reports.

Plans and Implements Strategies to Attract and Retain Noyce Scholars

  • Assist the project's PI in developing and implementing strategies to identify and recruit potential Noyce scholars

Arranges Professional Development and School Visits for the Project

  • Arrange and manage professional development for Noyce scholars and school visits for the project

Qualifications

Required Education and Experience

  • PhD in Curriculum and Instruction.

  • Six years of related experience in a specialized and relevant field of research.

  • Experience with grants.gov system for grant applications and project reports.

  • Worked with Noyce Scholars program. Have experience in data management, arranging and conducting professional development for Noyce scholars in preparation for teaching mathematics, arranging school site visits, and knowing the requirements of the annual reports and how they relate to the project.

A Well-Qualified Candidate Will Also Possess:

  • Know the requirements of the NSF Noyce grant "Strengthening Mathematics Instructions for Elementary & Middle Schools" and how to manage, support, and ensure all the requirements are met.

  • At least 5 years teaching mathematics in Texas public schools.

  • At least 10 years designing and providing teacher professional development for mathematics teachers in Texas.

  • Working experience at Texas A&M University.

  • Knowledge about school systems in Texas and other states, communication with Noyce scholars and local schools, data management and report preparation.

  • Excellent verbal and written skills.

  • Presentation skills.

  • Analytical skills.

  • Attention to detail.

  • Must be able to work independently as part of a multidisciplinary collaborative team.

  • Ability to multitask and work cooperatively with others.

Who We Are

Teaching, Learning and Culture (TLAC),one of four departments in theCollegeof Education and HumanDevelopment,encompasses students, faculty, and staff whose efforts and interests center on the manydifferent aspectsof academics,teachingand classroom education.TLAC's mission is to create experiences that advance teaching, research, and service through the application of knowledge in the preparation and development of quality educators, placing high value on collaboration, critical thinking, creativity, democratic governance, and global leadership.To learn more, please visithttps://tlac.tamu.edu/

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culturethatrespectsall perspectives, talents&livedexperiences.Embracing varying opinions and perspectives strengthens our corevalues which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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