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Learning Assistant Jobs in Ontario (NOW HIRING)

American Dental Education Association

Develop and apply an internal protocol for review and acceptance of online learning programs. Assist the VP, eLearn in developing eLearn initiatives and webinars, including developing and managing ...

Believeco Partners Ltd

Draft facilitator guides, job aids, and learning reference materials * Assist with change management projects tied to new systems, policy rollouts, and workforce transitions * Assist in managing the ...

Hatch

Pyrometallurgy Engineering Trainee

Mississauga, ON

CA$81K - CA$84K/yr

... learning * Assist with interpretation of simulation and field data as well as developing test work programs * Assist with preparation of engineering documents and calculations, such as mass and ...

Hatch

Pyrometallurgy Engineering Trainee

Mississauga, ON · On-site

CA$81K - CA$84K/yr

... learning * Assist with interpretation of simulation and field data as well as developing test work programs * Assist with preparation of engineering documents and calculations, such as mass and ...

Oxford Learning Centres, Inc.

CA$20.10/hr

Educational Assistant - Early Learners (Full-Time) Oxford Learning Stouffville is currently looking to hire a full-time educational assistant. If you are passionate about early learning, organized ...

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Learning Assistant information

What is a learning assistant?

Learning Assistants are individuals who support students and instructors in educational settings, often in classrooms or labs. They help facilitate group activities, answer student questions, and provide additional guidance to enhance learning. Learning Assistants are typically undergraduate students trained to use active learning techniques to improve student engagement and understanding. Their role is to create a positive and supportive learning environment, working alongside faculty to help students succeed.

What skills and qualifications are needed to thrive as a learning assistant?

To thrive as a Learning Assistant, you generally need a solid understanding of educational principles, subject matter expertise, and at least a high school diploma or equivalent, with some positions requiring postsecondary education. Familiarity with classroom technology, learning management systems (LMS), and digital collaboration tools is often important. Exceptional communication, patience, and the ability to motivate and support students are critical soft skills. These competencies ensure effective support of teachers and students, fostering an inclusive and productive learning environment.

How do learning assistants typically collaborate with teachers and students in the classroom?

Learning Assistants work closely with teachers to support lesson delivery, often helping to facilitate group activities, provide one-on-one assistance to students, and manage classroom dynamics. They play a key role in reinforcing concepts presented by the teacher, answering student questions, and identifying individuals who may need additional help. Collaboration also involves regular communication with the teaching staff to discuss student progress and adjust instructional strategies as needed. This teamwork ensures a supportive and effective learning environment for all students.

What is the difference between Learning Assistant vs Teaching Assistant?

AspectLearning AssistantTeaching Assistant
Required CredentialsOften undergraduate or graduate students, sometimes with specific trainingVaries; may include certifications or student status
Work EnvironmentAcademic settings, supporting active learning in classroomsClassrooms, labs, or online, assisting teachers or professors
Employer & IndustryEducational institutions, primarily colleges and universitiesSchools, colleges, universities, and training programs
Common Search & ComparisonLearning Assistant vs Teaching Assistant

Learning Assistants typically support active learning in higher education settings, often as students themselves, focusing on peer support and engagement. Teaching Assistants may have more formal instructional duties, including grading and classroom management. While both roles assist in educational environments, Learning Assistants emphasize peer-led support, whereas Teaching Assistants often work directly under faculty supervision to facilitate instruction.

How much do learning assistants get paid?

Learning assistants typically earn between $10 and $20 per hour, depending on the institution, location, and experience. Some roles may also include stipends or academic credit, and the position often requires strong communication and organizational skills.

What are the most commonly searched types of Learning jobs in Ontario?

The most popular types of Learning jobs in Ontario are:

What cities in Ontario are hiring for Learning Assistant jobs?

Cities in Ontario with the most Learning Assistant job openings:

Learning Assistant jobs near you
Infographic showing various Learning Assistant job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Assistant Professor - Statistical Learning Theory

University of Toronto

Toronto, ON • On-site

CA$140K - CA$190K/yr

Full-time

Re-posted 9 days ago

Job description

Date Posted: 07/13/2026
Closing Date: 11/09/2026, 11:59PM ET
Req ID: 48743
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes

POSITION DESCRIPTION:

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time tenure stream position in the area of Statistical Learning Theory and adjacent fields. The appointment will be at the rank of Assistant Professor with an anticipated start date of July 1, 2027.

This search aligns with the University's commitment to strategically and proactively promote diversity among our community members (Statement on Equity, Diversity & Excellence). Recognizing that Black, Indigenous, and other Racialized communities have experienced inequities that have developed historically and are ongoing, we strongly welcome and encourage candidates from those communities to apply.

REQUIREMENTS AND QUALIFICATIONS:

Candidates must have earned a PhD degree in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching in the area of Statistical Learning Theory.

The successful candidate should have experience working with, teaching, or mentoring diverse groups or diverse students is preferred. We seek exceptional candidates whose research and teaching interests complement and strengthen our existing departmental research strengths. 
Candidates must provide evidence of research excellence which can be demonstrated through a record of publications in top-ranked and field relevant journals or forthcoming publications meeting high international standards; the submitted research statement; presentations at significant conferences; awards and accolades; and strong endorsements from referees of high standing.
Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier (the required materials outlined below), as well as strong letters of reference.

RESPONSIBILITIES:

The successful candidate will be expected to establish innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program.

In addition, the successful candidate will be assigned a teaching and service load.
Candidates are also expected to show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment demonstrated through the application materials.
HIRING SALARY RANGE:
The expected salary range is $140,000 to $190,000 CAD per annum, depending on experience. Negotiations beyond this salary range will be considered for exceptionally qualified candidates.

ABOUT US:

For more information about the Department of Statistical Sciences, please visit our website at https://www.statistics.utoronto.ca.

For more information on working at the University of Toronto, please visit https://www.utoronto.ca/research-innovation/working-at-uoft.

APPLICATION PROCESS:
All applicant materials, including signed reference letters, must be received by November 9, 2026.
All qualified candidates are invited to apply online at Academic Jobs Online, https://academicjobsonline.org/ajo/jobs/32307  Applicants must submit the following materials:

  • a cover letter;
  • a current curriculum vitae;
  • a complete teaching dossier, including
    • a teaching statement,
    • sample syllabi and course materials, and
    • teaching evaluations
  • Applicants must also arrange to have three letters of reference (dated, on letterhead and signed) uploaded through Academic Jobs Online directly by the writers by the closing date.

Equity, diversity, and inclusion are essential to academic excellence as articulated in University of Toronto's  Statement on Equity, Diversity and Excellence. We seek candidates who share these values and who demonstrate throughout the application materials their commitment and efforts to advance equity, diversity, inclusion, and the promotion of a respectful and collegial learning and working environment.
If you have any questions about this position, please contact Katrina Mintis at katrina.mintis@utoronto.ca.
CAUTION: This ad is "posted only" to the U of T faculty job board. Please see the information above for application instructions. Applications submitted via the U of T platform will NOT be considered for this position.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Diversity Statement
The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.


If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.

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