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Part Time Artificial Intelligence Machine Learning Jobs in Toronto, ON

Lithia

Part-Time Receptionist

Newmarket, ON

$17.60/hr

Part-Time Receptionist - Audi Newmarket, Newmarket, ON L3Y 9A1 Ready to be the friendly face and ... We do not use artificial intelligence (AI) to screen, assess, or select applicants at any stage of ...

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Oak-land

Part-Time Receptionist

Oakville, ON

We are currently seeking a Part-Time Receptionist to join our team of customer focused ... Artificial intelligence (AI) tools are used in the assessment, screening, or selection of ...

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Part Time Artificial Intelligence Machine Learning information

What is a Part Time Artificial Intelligence Machine Learning job?

A Part Time Artificial Intelligence (AI) Machine Learning (ML) job involves working fewer hours than a full-time position, typically focusing on tasks related to building, training, and evaluating AI and ML models. These roles may include data preprocessing, developing algorithms, testing models, or assisting with research and development. Part-time AI/ML positions are ideal for students, professionals seeking flexible work schedules, or those looking to gain experience in the field while balancing other commitments. Responsibilities and required skills can vary depending on the employer and the specific project needs.

What are some typical projects or tasks assigned to part-time Artificial Intelligence Machine Learning professionals?

Part-time Artificial Intelligence Machine Learning professionals are often tasked with supporting ongoing model development, data preprocessing, and conducting exploratory data analysis. They may assist in training and evaluating models, annotating datasets, and preparing technical documentation. Collaboration is common with full-time team members, including data scientists, engineers, and project managers, to ensure smooth integration and deployment of models. These roles can offer exposure to real-world AI challenges without the commitment of a full-time position.

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

To thrive as a Part Time Artificial Intelligence Machine Learning professional, you typically need a solid background in mathematics, statistics, programming (often Python), and a relevant degree or coursework in computer science or data science. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, experience with data analysis tools, and sometimes certifications like Google AI or AWS Machine Learning are highly valued. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex technical findings into actionable insights and collaborating with cross-functional teams. These skills and qualifications ensure the ability to develop robust AI solutions efficiently and contribute meaningfully to projects, even in a part-time capacity.
What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Toronto, ON? The most popular types of Artificial Intelligence Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Part Time Artificial Intelligence Machine Learning jobs in Toronto, ON? For Part Time Artificial Intelligence Machine Learning jobs in Toronto, ON, the most frequently searched job titles are:
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Part Time Artificial Intelligence Machine Learning jobs near you
Infographic showing various Part Time Artificial Intelligence Machine Learning job openings in Toronto, ON as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Part-Time Lecturer - Applied Machine Intelligence (Toronto)

NorthEastern

Toronto, ON

CA$2.0K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

About the Opportunity

About Northeastern:

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. Our locations-inBoston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlingtonand the Massachusetts communities of Burlington and Nahant-are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern's comprehensive array of undergraduate and graduate programs- in a variety of on-campus and onlineformats-lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than195multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

About the Opportunity:

Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Toronto, Canada.

Responsibilities:

The Master of Professional Studies in Analytics is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry.

Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The Applied Machine Intelligence courses offer a multi-disciplinary, experience-based approach that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.

Qualifications:

Minimum qualification: Terminal degree in an aligned discipline and analytics/artificial intelligence industry experience.

Preference for candidates with a Ph.D. in a sciences field or similar.

Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Supervision:

This position will report to the Program Lead in the Master of Professional Studies in Applied Machine Intelligence.

Additional Information:


Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.

Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate is $2,049.43

Apply