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Part Time Machine Learning Researcher Jobs (NOW HIRING)

$14.75 - $19.75/hr

Contribute to the research and development of unique algorithmic solutions for a wide array of ... Support machine learning model development using tools and technologies such as: PyTorch, Pandas ...

... search of a part-time undergraduate researcher. The U.S. Geological Survey (USGS) monitors ... This project is developing Machine-Learning based methods to help improve the methodology and make ...

Research Specialists

Campus, IL · On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Preferences Preferred • Experience using or modifying machine learning models such as decision ...

Research Specialists

Campus, IL · On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

Research Specialists

Campus, IL · On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text ...

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Showing results 1-20

Part Time Machine Learning Researcher information

See salary details

$30K

$113.1K

$164.5K

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

As of Jul 14, 2026, the average yearly pay for part time machine learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Machine Learning Researcher, you need a solid background in mathematics, statistics, and programming, often demonstrated through academic coursework or relevant research experience. Familiarity with programming languages like Python or R, machine learning libraries (e.g., TensorFlow, PyTorch), and version control systems such as Git is typically required. Strong analytical thinking, curiosity, and effective communication skills help in interpreting data and collaborating with research teams. These competencies enable researchers to design, implement, and present innovative solutions to complex problems in machine learning.

What does a Part Time Machine Learning Researcher do?

A Part Time Machine Learning Researcher typically works on developing, testing, and improving machine learning models and algorithms, often as part of a research team or academic project. Their responsibilities may include data analysis, implementing machine learning techniques, conducting literature reviews, and contributing to research publications or presentations. Since the role is part-time, they usually work flexible hours and may balance these duties with other commitments such as studies or a different job. The position is ideal for students, professionals seeking experience, or those who wish to contribute to research while managing other responsibilities.

What is the difference between Part Time Machine Learning Researcher vs Data Scientist?

AspectPart Time Machine Learning ResearcherData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentResearch-focused, often in academic or R&D settings, with emphasis on developing new algorithmsBusiness-focused, working with large datasets to generate insights and support decision-making
Industry UsageCommon in research institutions, universities, and R&D departmentsWidely used across industries like finance, healthcare, tech, and marketing

While both roles involve working with machine learning, a Part Time Machine Learning Researcher primarily focuses on developing new algorithms and research, often in academic or research settings. In contrast, a Data Scientist applies machine learning techniques to analyze data and solve business problems. The roles share similar credentials but differ in work environment and industry application.

How much do ML research scientists make?

Machine Learning research scientists typically earn between $90,000 and $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in deep learning or AI tools can earn higher salaries, especially in tech hubs or large organizations.

How do part-time machine learning researchers typically balance independent work with collaboration within their research teams?

Part-time machine learning researchers often have flexible schedules, which means they need to be proactive in communicating with their teams and managing project timelines. While much of the research work can be done independently—such as data analysis, model development, and literature review—regular meetings and updates are essential to stay aligned with the team's goals. Many teams use collaborative platforms and version control systems to facilitate seamless contributions from part-time members. Clear documentation and open communication help ensure that part-time researchers can effectively integrate their work with the broader project and contribute meaningfully despite reduced hours.

Is computer science dead due to AI?

The role of a Part Time Machine Learning Researcher involves developing and applying AI algorithms, which indicates that computer science remains a vital and evolving field. AI advances create new opportunities for research, requiring skills in programming, data analysis, and understanding of algorithms, rather than replacing the entire discipline.

What is the salary of remote AI researcher?

The salary of a remote AI researcher varies depending on experience, education, and location, but typically ranges from $80,000 to $150,000 annually. Part-time roles may offer proportionally lower pay, often calculated hourly or project-based, with some positions paying around $25 to $75 per hour. Skills in machine learning frameworks and programming languages like Python can influence compensation levels.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning researcher or AI director, often offering top-tier compensation due to expertise, experience, and the strategic importance of AI projects. These roles usually require advanced skills in machine learning, deep learning, and data science, along with significant industry experience and sometimes advanced degrees or certifications.
More about Part Time Machine Learning Researcher jobs
What cities are hiring for Part Time Machine Learning Researcher jobs? Cities with the most Part Time Machine Learning Researcher job openings:
What are the most commonly searched types of Machine Learning Researcher jobs? The most popular types of Machine Learning Researcher jobs are:
What states have the most Part Time Machine Learning Researcher jobs? States with the most job openings for Part Time Machine Learning Researcher jobs include:
What job categories do people searching Part Time Machine Learning Researcher jobs look for? The top searched job categories for Part Time Machine Learning Researcher jobs are:
Infographic showing various Part Time Machine Learning Researcher job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Assistant Professor: Digital Technology, Machine Learning and AI in Agriculture Communications and E

Assistant Professor: Digital Technology, Machine Learning and AI in Agriculture Communications and E

North Carolina State University

Raleigh, NC • On-site

$92K - $105K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

407th of 553 rated colleges and universities


Job description

Posting Details
Posting Information
Posting Number
PG194658EP
Internal Recruitment
No
Working Title
Assistant Professor: Digital Technology, Machine Learning and AI in Agriculture Communications and Education
Anticipated Hiring Range
Commensurate with Experience ($92,500 - $105,000)
Work Schedule
Monday-Friday, 8AM-5PM
Job Location
Raleigh, NC
Department
Agricultural and Human Sciences
About the Department
The College of Agriculture and Life Sciences (CALS) fulfills the land-grant mission by preparing students to thrive in a global marketplace, pursue cutting-edge research, and put those results to work across North Carolina and beyond. The college is a connected community of 3,600 undergraduate, graduate, and Agricultural Institute students, 345 tenure-track and professional faculty, 100 postdocs, 898 staff, and 598 county operations employees.
Academic programs span 17 undergraduate majors, 21 undergraduate minors, 12 undergraduate certificates, and 11 graduate certificates in 12 academic departments. The college offers 19 bachelor's degrees, 91 master's degrees, and 45 doctoral degrees. The Agricultural Institute is the college's two- year program offering six associate of applied science degrees.
The college brings together the brightest minds in academia, government, and industry to drive the vital research and innovation necessary to tackle agriculture and life sciences challenges. Award-winning researchers in the college are conducting bold, interdisciplinary research at the N.C. Plant Sciences Initiative, Plants for Human Health Institute, Center for Marine Sciences and Technology, the North Carolina Food Innovation Lab, four University Field Labs, and over 30 facilities on-campus and off-campus. In partnership with the North Carolina Department of Agriculture and Consumer Services, the college operates 18 agricultural research stations to test research in real-world scenarios under natural conditions. Transforming science into solutions is at the heart of NC State Extension, housed in the college. NC State Extension is present in every county of the state, with 1,100 experts and a network of partnerships to extend the knowledge from our faculty to farmers, families, and citizens. It delivers more than 17,000 educational activities statewide via nearly 8,000 programs.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Propositionand learn more about what makes NC State the best place to learn and work for everyone.
What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
We are seeking candidates that will help define what's next for agricultural education and communication. This tenure-track faculty position within the College of Agriculture and Life Sciences at North Carolina State University is an opportunity to build and lead a nationally recognized program exploring how artificial intelligence and machine learning can transform the way students learn, educators teach, and agricultural communities access knowledge. Through research, Extension, and teaching, this role will shape innovative approaches that strengthen learning experiences and advance agricultural and food systems education for the future.
In this role, you will get to explore emerging technologies in ways that create meaningful, real-world impact. You will collaborate with interdisciplinary faculty across the CALS Applied AI Cluster, develop innovative research and Extension initiatives, and help shape how AI and machine learning are integrated into agricultural education, communication, and outreach. From designing personalized learning experiences to supporting producers, educators, and stakeholders through technology-driven solutions, your work will influence both the future of education and the future of agriculture. You will also have the flexibility to pursue bold ideas, build collaborative partnerships, mentor students, and create programs that extend beyond the classroom into communities across North Carolina and beyond.
Key Responsibilities:
  • Establish and lead a forward-thinking research program exploring the use of AI and ML in agricultural and Extension education, including areas such as personalized learning, predictive analytics, adaptive assessments, virtual assistants, and emerging educational technologies.
  • Develop innovative approaches that enhance communication and learning outcomes for students, agricultural professionals, producers, and community stakeholders.
  • Design and deliver impactful Extension programming that helps agricultural and food systems organizations understand, adopt, and apply AI-driven technologies and tools.
  • Create hands-on workshops, trainings, and educational resources focused on topics such as data-informed decision making, AI applications in agriculture, and technology integration strategies.
  • Collaborate with interdisciplinary faculty, research centers, strategic initiatives, and external partners to advance applied AI efforts across agriculture and life sciences.
  • Develop technology-enhanced teaching and learning experiences that prepare future educators, Extension professionals, and agricultural leaders to effectively integrate emerging technologies into their work.
  • Teach and contribute to undergraduate and graduate programs related to agricultural and Extension education, communication, and technology applications.
  • Mentor and advise graduate students while supporting student research, innovation, and professional development.
  • Conduct scholarly and translational research that bridges theory, practice, and community impact across teaching, Extension, and applied research initiatives.
  • Secure external funding and build partnerships that expand the reach and impact of AI and ML initiatives within agriculture and food systems.
  • Contribute to departmental, college, university, and professional service activities that support the broader mission of CALS and the agricultural community.

This 12-month appointment includes responsibilities across Research (50%), Extension (30%), and Teaching (20%).
If you are excited to push boundaries, translate emerging technologies into meaningful practice, and help shape the future of agricultural education and outreach, we encourage you to apply.
Other Responsibilities
Qualifications
Minimum Education and Experience
Earned a Doctorate degree in Education, STEM Education, Agricultural Education, or a closely related field. All degrees must be received from appropriately accredited institutions.
Other Required Qualifications
  • Experience working in the discipline of machine learning (ML), artificial intelligence (AI), and technology as it applies to STEM education.
  • Effective oral and written communication skills for graduate students and lay and professional audiences.
  • Evidence of excellent interpersonal skills, team building, problem-solving ability, networking skills, and ability to work with interdisciplinary groups.
  • Demonstrated grant writing skills and familiarity with electronic media and distance education.

Preferred Qualifications
  • Minimum of 3 years of successful professional experience and demonstration of an understanding of the land grant university mission.

Required License(s) or Certification(s)
  • A valid NC Driver's License and the ability to obtain an NC Driver's License within 60 days of hire and must be maintained throughout employment.

Valid NC Driver's License required
Yes
Commercial Driver's License required
No
Recruitment Dates and Special Instructions
Job Open Date
06/02/2026
Anticipated Close Date
6/29/2026; if posting is active, we are still reviewing and accepting applications.
Special Instructions to Applicants
Review of applications will begin July 1, 2026.
Please attach a Cover Letter, resume/CV, and contact information for three (3) professional references. Please make sure that the information entered on the application matches what is on your resume.
Position Details
Position Number
00112067
Position Type
Tenured/Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week)
1.00
Appointment
12 Month Recurring
Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events
Mandatory - Medical Emergencies
Department ID
111401 - Agricultural and Human Sciences
EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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About North Carolina State University

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North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887