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Machine Learning Part Time Jobs in Pittsburgh, PA

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Machine Learning Part Time information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

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

As of Jul 19, 2026, the average yearly pay for machine learning part time in Pittsburgh, PA is $41,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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 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 Pittsburgh, PA? The most popular types of Machine Learning jobs in Pittsburgh, PA are:
What job categories do people searching Machine Learning Part Time jobs in Pittsburgh, PA look for? The top searched job categories for Machine Learning Part Time jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Machine Learning Part Time jobs? Cities near Pittsburgh, PA with the most Machine Learning Part Time job openings:
Machine Learning Part Time jobs near you
Infographic showing various Machine Learning Part Time job openings in Pittsburgh, PA 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 $41,341 per year, or $19.9 per hour.
Research Associate II - Robotics Institute

Research Associate II - Robotics Institute

Carnegie Mellon University

Pittsburgh, PA

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

56th of 555 rated colleges and universities

Job description

We are seeking a part-time Research Associate II in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms and models for analyzing and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing.

We are seeking creative and upbeat Research Associate II that will under general supervision, designs experiments and research protocols. Performs complex analysis to report results.

Responsibilities:

  • Write code and develop novel theoretical and practical state of the art artificial intelligence/machine learning algorithms that are focused on human behavior modeling related to video classification using deep learning networks for end-users.

  • Work with other team members to develop and maintain software for maximum efficiency and usability.

  • Designs, develops, tests and maintains applications or system programs.

  • Gathers and provides input on functional specifications and requirements

  • Perform approved research project tasks according to defined protocols and procedures including appropriate collection, recording, storage, and analysis of data, and reporting of results.

  • Follow appropriate research policies and procedures and maintains scientific integrity including accurate data storage.

  • Communicate the daily progress of research projects via meetings with, and written reports to the research director.

  • Responsible for following the mandatory reporting procedures for any incident or event that did affect or potentially could affect the project goals and workflow.

  • Optimize protocols and improve methods currently employed.

  • Coordinates work consistently to achieve maximum productivity.

  • Demonstrates ability to deal with changes in priorities to provide smooth and consistent workflow.

  • Interacts with interdisciplinary professional partners.

  • Other duties as assigned.

Requirements:

  • Bachelor's Degree

  • Strong Analytical Skills

  • Strong Oral and Written Communication Skills

  • Strong Problem-Solving and Reasoning Skills

  • 3-5 Years of Research Experience

  • 3-5 Years of Research Methodology Experience

  • 3-5 Years of Data Collection and Analysis Experience

  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

REQUIRED:

  • Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a closely related field.

  • Strong programming skills.

  • Strong background in machine learning / computer vision/ human behavior modeling, with specialization in one or more of the following areas:, supervised/unsupervised/self-supervised learning, large vision models, multimodal foundation models, transfer learning,Research experience in multimodal human behavior analysis, affective computing, AI for Healthcare, and multimodal machine learning.

  • Very good presentation, communication, and organization skills.


DESIRED:

  • Publications in top machine learning and/or computer vision conferences and journals.

  • Research experience involving clinical applications (e.g., depression, pain).

  • Experience and/or enthusiasm for mentoring students.

  • Experience analyzing questionnaires and surveys.

  • Experience with grant proposal preparation and coordination.


How to Apply:
Important Note: Applications missing any 3 of the mandatory document listed below will be REJECTED and not considered for the role.
Applications should be sent to https://cmu.wd5.myworkdayjobs.com/CMU
Applications MUST contain the 3 mandatory files listed below:
1. Cover Letter: letter of application, describing your qualifications and relevant experience to the position of interest (with expected date of availability).
2. A detailed CV (including full publications citation if applicable)
3. Three reference letters (sent separately by the referees to me at adehart@andrew.cmu.edu
Incomplete applications that are missing any of the 3 files listed above will not be considered and dispositioned.
*** If you are an international student on an F-1 visa, please check with your Designated School Official (DSO) or academic counselor at your current institution about the right time to apply for Curricular Practical Training (CPT) before applying to a role with CMU. ***
"Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity."

Training:

  • OSHA Hazardous Materials Safety Training

Are you interested in this exciting opportunity?! Apply today!

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Researchers

Position Type

Staff - Fixed Term (Fixed Term)

Full Time/Part time

Part time

Pay Basis

Hourly

More Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

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