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Machine Learning Part Time Jobs in Edmonton, AB (NOW HIRING)

Position Summary About the Lab The Fyshe Lab studies the intersection of machine learning, natural ... Ability to work independently and reliably on a part-time schedule Preferred Qualifications:

Machine Learning Part Time information

See Edmonton, AB salary details

$20K

$109.1K

$212.5K

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

As of Jul 27, 2026, the average yearly pay for machine learning part time in Edmonton, AB is $109,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $156,000.00 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 Edmonton, AB? The most popular types of Machine Learning jobs in Edmonton, AB are:
Infographic showing various Machine Learning Part Time job openings in Edmonton, AB 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 $109,070 per year, or $52.4 per hour.
Lab Coordinator

Part-time

Posted 18 days ago


Job description

This position has a term length of one-year.

Location -  This role is hybrid with a mix of remote and in-person. Work primarily takes place at North Campus, Edmonton.

Position Summary

About the Lab

The Fyshe Lab studies the intersection of machine learning, natural language processing, and cognitive neuroscience - with a focus on how large language models represent meaning and how those representations compare to human neural activity. Our work spans behavioral experiments, EEG, and fMRI, alongside computational modeling of language models.
About the Role

We're looking for a Lab Manager to help keep our research running smoothly. You'll support the day-to-day operation of behavioral, EEG, and fMRI studies - from participant scheduling through to data handling - and help the lab stay organized as we juggle multiple concurrent projects. No prior experience with fMRI, EEG, or behavioral testing is required, but experience with any of these is an asset. Coding experience (e.g., Python) is preferred, as you may help with basic data organization, preprocessing scripts, or lab tooling.

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Metis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people - from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

All University employees have a responsibility to foster a workplace that prioritizes safety in all its forms-physical, cultural, and psychological. This is achieved by promoting a safe environment, adhering to all safety laws, policies and procedures, completing all required safety training, identifying hazards and implementing controls, reporting incidents, and contributing to a culture of belonging and respect, while endeavoring to ensure that all colleagues feel valued and safe to express their thoughts, perspectives and concerns.

The University of Alberta is committed to creating a university community where everyone feels valued, barriers to success are removed, and thriving connections are fostered. We welcome applications from all qualified persons. We encourage women, First Nations, Metis and Inuit persons, members of visible minority groups, persons with disabilities, persons of any sexual orientation or gender identity and expression, and all those who may contribute to the further diversification of ideas and the University to apply.

L'Universite de l'Alberta s'engage a creer une communaute universitaire ou chaque personne se sent valorisee, ou les obstacles a la reussite sont elimines et ou des connexions enrichissantes peuvent se developper. Nous accueillons les demandes de toutes les personnes qualifiees. Nous encourageons les femmes; Premieres nations, Metis et Inuits; membres des groupes minoritaires visibles; personnes handicapees; personnes de toute orientation sexuelle ou identite et expression de genre; et toutes les personnes qui peuvent contribuer a la diversification des idees et a l'universite a postuler.
The Faculty of Science is internationally recognized for excellence in research and education. Through pioneering discovery and innovation, the faculty addresses global challenges across disciplines such as biology, chemistry, computing science, physics, mathematics, and earth sciences. Its work positions the university at the forefront of technological, environmental, and scientific advancement.

Minimum Qualifications:

  • Partial completion of an undergraduate degree in Psychology or Computing Science or a related field. Preference will be given to candidates who have completed at least two years of their undergraduate program.
  • Strong organizational skills and attention to detail
  • Comfortable managing multiple ongoing tasks and communicating with study participants
  • Ability to work independently and reliably on a part-time schedule

Preferred Qualifications:

  • Experience with EEG, fMRI, or behavioral experiment software (e.g., PsychoPy, E-Prime, EEGLAB, or similar)
  • Programming experience, especially Python and Matlab
  • Background or coursework in cognitive science, neuroscience, psychology, computing science, or a related field
  • Experience designing experiments and choosing stimuli
  • Familiarity with research ethics processes (REB applications)
     

Application Instructions 

Click "Apply Now" to submit your application, including your cover letter and resume. Your cover letter should outline your interest in the position and highlight how your qualifications and experience make you a strong candidate for the role.
 

This position is subject to all applicable terms and conditions of the collective agreement between the Governors of the University of Alberta and the Non-Academic Staff Association (NASA).

  • Coordinate scheduling and logistics for behavioral, EEG, and fMRI sessions
  • Assist with running experimental sessions alongside trainees and the PI
  • Recruit and communicate with study participants
  • Write new research ethics applications, renew existing approvals, and close out completed studies with the REB
  • Manage research ethics documentation and ensure protocols are followed
  • Organize, back up, and maintain research data according to lab and university data management standards
  • Maintain lab equipment, supplies, and shared resources
  • Support onboarding of new students and trainees to lab procedures
  • Assist with basic data organization or scripting tasks as needed