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Part Time Computer Science Jobs in Saskatoon, SK

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Part Time Computer Science information

See Saskatoon, SK salary details

$20K

$49.4K

$102.5K

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

As of Sep 6, 2026, the average yearly pay for part time computer science in Saskatoon, SK is $49,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,000.00 and $58,000.00 per year, depending on experience, location, and employer.

What are part-time jobs in computer science?

Part-time computer science jobs focus on developing programs, engineering computer infrastructure, providing support for computer systems, and teaching computer-related subjects. As a part-time computer science professional, you perform your duties for less than 40 hours per week. As a computer science instructor, you teach coding and related skills to help students learn to develop or build programs, platforms, and networks. Your responsibilities as a computer scientist include installing, repairing, or customizing software or systems. You can also work in a job where you provide technical support for computer users. Some part-time professionals freelance or work on weekends and evenings.

What are the key skills and qualifications needed to thrive as a part-time computer science instructor, and why are they important?

To thrive as a Part-Time Computer Science Instructor, you should have a solid background in programming languages, algorithms, and computer science fundamentals, typically supported by a relevant degree or professional experience. Familiarity with learning management systems (LMS), coding platforms, and common programming tools is important for effective instruction and student engagement. Strong communication, adaptability, and patience help instructors explain complex concepts clearly and support diverse learners. These skills ensure that students receive quality education and are well-prepared for careers in technology.

What are some common challenges faced by part-time computer science professionals, and how can they be addressed?

Part-time Computer Science professionals often face challenges such as managing workload across limited hours, staying updated with rapidly evolving technologies, and integrating effectively with full-time team members. To address these, clear communication with supervisors about workload expectations is essential, as is setting aside dedicated time for skill development. Additionally, participating in regular team meetings and utilizing collaboration tools can help maintain strong connections with colleagues and ensure project alignment despite reduced hours.

What is the difference between Part Time Computer Science vs Part Time Software Developer?

AspectPart Time Computer SciencePart Time Software Developer
Required CredentialsTypically a degree or coursework in computer scienceOften a degree in computer science or related field, sometimes self-taught
Work EnvironmentAcademic settings, research labs, or online learning platformsTech companies, startups, freelance projects, or remote work
Employer & Industry UsageEducational institutions, research organizations, online education providersSoftware firms, IT departments, freelance clients
Common Search & Comparison IntentUnderstanding academic or foundational roles in computer scienceSeeking practical software development opportunities in part-time roles

Part Time Computer Science generally focuses on foundational knowledge, research, and academic coursework, while Part Time Software Developer emphasizes practical coding, application development, and project work. Both roles often require similar educational backgrounds but differ in work environment and industry application.

What is the easiest part time computer science job to get?

Part-time roles such as data entry, technical support, or basic web development are generally easier to obtain in computer science, especially for those with foundational skills in programming, troubleshooting, or using common tools like HTML or Excel. These positions often require minimal experience and can be suitable for students or those new to the field.

What jobs can you get with a part time computer science degree?

A part-time computer science degree can qualify you for roles such as software developer, web developer, technical support specialist, or data analyst. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and version control systems. Many of these jobs offer flexible schedules suitable for part-time work.
More about Part Time Computer Science jobs

What are the most commonly searched types of Computer Science jobs in Saskatoon, SK?

The most popular types of Computer Science jobs in Saskatoon, SK are:

Part Time Computer Science jobs near you
Infographic showing various Part Time Computer Science job openings in Saskatoon, SK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $49,438 per year, or $23.8 per hour.

Undergraduate Research Assistant, School of Rehabilitation Science

University of Saskatchewan

Saskatoon, SK • On-site

Part-time

Posted 13 days ago

Key responsibilities

  • Assist with the preparation, organization, cleaning, and management of speech and language datasets.

  • Support the development, testing, and refinement of machine learning and artificial intelligence models.

  • Participate in team meetings and provide updates on assigned tasks.

Job description

About the School of Rehabilitation Science:
The School of Rehabilitation Science in the College of Medicine is committed to advancing health, participation, and quality of life through excellence in teaching, research, and community engagement. This position offers a unique opportunity to contribute to an innovative interdisciplinary research project at the intersection of artificial intelligence, speech-language pathology, accessibility, and health technology. The successful candidate will work with a research team developing AI-based tools to improve communication access for individuals with dysarthria, including people with cerebral palsy. This project has the potential to significantly enhance communication accessibility and participation for individuals with speech disabilities.

 

Primary Purpose: To support the development and evaluation of artificial intelligence models designed to improve communication accessibility for individuals with dysarthria. The successful candidate will contribute to the collection, preparation, management, and analysis of speech and language data used to refine AI systems that translate unintelligible speech into intended written messages.
Nature of Work: Reporting to an Assistant Professor in the School of Rehabilitation Science, the Undergraduate Research Assistant will work as part of an interdisciplinary team that includes speech-language pathology researchers, students, and community partners.

This is a part-time casual position requiring approximately 5-10 hours per week. Work can be completed remotely and on a flexible schedule that accommodates the student's academic commitments. Occasional virtual or in-person meetings may be required.

The position requires initiative, attention to detail, and the ability to work independently while maintaining regular communication with the research team. The successful candidate will exercise judgment when handling research data, maintaining confidentiality, troubleshooting technical issues, and documenting procedures. Work assignments may vary throughout the project cycle depending on research and development needs.

Travel and shift work are not required.
Typical Duties or Accountabilities:

  • Assist with the preparation, organization, cleaning, and management of speech and language datasets.
  • Support the development, testing, and refinement of machine learning and artificial intelligence models.
  • Conduct literature reviews related to speech recognition, accessibility technologies, machine learning, and natural language processing.
  • Develop and maintain scripts or software tools to support data processing and analysis.
  • Document coding procedures, workflows, and project outcomes.
  • Assist with evaluating model performance and identifying opportunities for improvement.
  • Participate in team meetings and provide updates on assigned tasks.
  • Maintain confidentiality and comply with ethical requirements related to research involving human participants.
  • Contribute to knowledge translation activities, including preparation of reports, presentations, or research dissemination materials as appropriate.


Education: Applicants must be currently enrolled in an undergraduate degree program in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related field at the University of Saskatchewan.

Preference may be given to students who have completed coursework in machine learning, artificial intelligence, data science, natural language processing, speech processing, software development, or related areas.


Licenses: No licenses are required for this position.
Experience:

  • Experience with programming and software development through coursework, personal projects, research, or employment.
  • Experience with data analysis, machine learning, or artificial intelligence projects is considered an asset.
  • Experience working with speech, audio, language, or accessibility-related technologies is considered an asset but is not required.
  • Previous research experience is beneficial but not required.


Skills:

  • Familiarity with machine learning frameworks and data analysis tools is an asset.
  • Strong analytical and problem-solving abilities.
  • Ability to learn new technical concepts and software tools independently.
  • Excellent attention to detail and commitment to data quality.
  • Strong written and verbal communication skills.
  • Effective organizational and time-management skills.
  • Ability to work independently and collaboratively within an interdisciplinary research team.
  • Commitment to ethical conduct, confidentiality, and respectful engagement with disability and accessibility research.
  • Interest in applying computing technologies to address real-world health and accessibility challenges.


Inquiries regarding this position can be directed to Adrianna Noyes at  Adrianna.Noyes@usask.ca

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