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Part Time Computer Vision Jobs in Pittsburgh, PA

Dollar Bank

Part-time Teller, Robinson

Pittsburgh, PA · On-site

$15.50 - $19.50/hr

... • Computer literacy to access account information and process transactions. • Develop a ... dental, vision, 401(k) with immediate vesting, a generous Paid Time Off program, tuition ...

Dollar Bank

Part-time Teller, Squirrel Hill

Pittsburgh, PA · On-site

$15.50 - $19.50/hr

... • Computer literacy to access account information and process transactions. • Develop a ... dental, vision, 401(k) with immediate vesting, a generous Paid Time Off program, tuition ...

Dollar Bank

Part-time Teller, Braddock Hills

Pittsburgh, PA · On-site

$15.50 - $19.50/hr

... • Computer literacy to access account information and process transactions. • Develop a ... dental, vision, 401(k) with immediate vesting, a generous Paid Time Off program, tuition ...

Gordon Food Service

Part Time Store Associate

Greensburg, PA · On-site

$14 - $16/hr

Prescription, Dental and Vision Insurance * Short Term and Long Term Disability Insurance * PTO and ... Basic math and computer skills * Able to lift up to 50 lbs * Must have Day Shift availability BE ...

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All JobsPart Time Computer Vision JobsPart Time Computer Vision Jobs in Pittsburgh, PA

Part Time Computer Vision information

See Pittsburgh, PA salary details

$32.5K

$46.9K

$61.6K

How much do part time computer vision jobs pay per year?

As of Jun 8, 2026, the average yearly pay for part time computer vision in Pittsburgh, PA is $46,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,900.00 and $53,900.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Computer Vision vs Part Time Machine Learning Engineer?

AspectPart Time Computer VisionPart Time Machine Learning Engineer
Required CredentialsBachelor's in CS, CV certifications, relevant experienceBachelor's in CS, ML certifications, relevant experience
Work EnvironmentTech companies, research labs, startupsTech firms, research institutions, startups
Industry UsageImage/video analysis, autonomous vehicles, roboticsData modeling, predictive analytics, AI applications
Search & Comparison IntentUnderstanding role scope, skills, and job dutiesSimilar roles, skills overlap, career paths

Part Time Computer Vision focuses on analyzing visual data, while Part Time Machine Learning Engineer works on developing algorithms across various data types. Both roles require similar educational backgrounds and work environments but differ in their specific focus areas within AI and data analysis.

What types of projects and collaboration can I expect in a part-time computer vision role?

In a part-time computer vision position, you’ll often work on focused projects such as image classification, object detection, or facial recognition, typically within a small team or as an individual contributor. You’ll likely collaborate with data scientists, software engineers, or product managers, sharing updates during virtual meetings and using collaborative tools like GitHub for code review and integration. While the part-time nature provides flexibility, clear communication and self-management are important as you may need to synchronize your progress with the broader team. This role is a great way to gain hands-on experience with cutting-edge technologies and build a portfolio for future full-time opportunities.

What are part-time computer vision jobs?

Part-time computer vision jobs involve working fewer hours than a full-time position, typically in roles that focus on developing, testing, or implementing computer vision algorithms and systems. These jobs may include tasks such as image and video analysis, machine learning, data annotation, or AI model development, often in industries like healthcare, automotive, retail, or security. Part-time positions can be ideal for students, freelancers, or professionals seeking flexible work arrangements while contributing to innovative technology projects.

What are the key skills and qualifications needed to thrive as a Part Time Computer Vision Specialist, and why are they important?

To thrive as a Part Time Computer Vision Specialist, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or coursework. Experience with programming languages like Python, frameworks such as OpenCV or TensorFlow, and familiarity with image processing tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in problem-solving and collaborating with team members. These skills and qualities are essential for successfully developing and implementing computer vision solutions that meet project goals and deadlines.
What are the most commonly searched types of Computer Vision jobs in Pittsburgh, PA? The most popular types of Computer Vision jobs in Pittsburgh, PA are:
What are popular job titles related to Part Time Computer Vision jobs in Pittsburgh, PA? For Part Time Computer Vision jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Vision jobs in Pittsburgh, PA look for? The top searched job categories for Part Time Computer Vision jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Part Time Computer Vision jobs? Cities near Pittsburgh, PA with the most Part Time Computer Vision job openings:
Part Time Computer Vision jobs near you

Research Associate II - Robotics Institute

Carnegie Mellon University

Pittsburgh, PA • On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 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

50th of 534 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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