12 Teaching Assistant jobs in South Africa

We are seeking a dedicated and enthusiastic Teaching Assistant to support our facilitator and learners in delivering engaging lessons and practical sessions. The ideal candidate is passionate about education, well-organized, and eager to contribute to creating an interactive learning environment.

Key Responsibilities

• Assist teachers/facilitators in preparing lesson materials and classroom resources.
• Support learners during practical sessions, group work, and individual tasks.
• Provide administrative and logistical support (attendance, resources, setup, etc.).
• Help set up and manage equipment, technology, and tools needed for practical learning.
• Monitor learners' progress and provide feedback to teachers/facilitators.
• Supervise learners during classroom activities.

Requirements

• Previous experience as a teaching assistant, tutor, or in a classroom/practical environment is an advantage.
• Strong communication and interpersonal skills.
• Patient, adaptable, and able to work with diverse learners.
• Basic computer literacy (MS Office, Google Suite, or similar).
• Passion for education and learner development.

Job Type: Full-time

Work Location: In person

Role Description

This is a full-time on-site role for a Teaching Assistant located in Port Elizabeth. The Teaching Assistant will be responsible for assisting the lead teacher in daily classroom activities, helping to create a positive learning environment, and providing support to individual students as needed. They will also help with classroom management, grading assignments, and preparing instructional materials.

Qualifications

• Assistant Teaching and Education skills
• Strong Communication skills
• Proficiency in Mathematics
• Experience Working With Children
• Excellent organizational and multitasking abilities
• Ability to work collaboratively in a team environment
• Bachelor's degree in Education or related field preferred

Key Roles and Responsibilities:

The Computer Lab Teaching Assistant plays a pivotal role in supporting lecturers and students in the campus computer labs. This position is integral to fostering a productive and enriching learning environment by assisting with technical guidance, facilitating hands-on instruction, and offering academic support. The Computer Lab Teaching Assistant collaborates closely with lecturers to ensure that lab activities align with course objectives and enhance the educational experience.

Academic Support: Provide one-on-one or small group academic support to students in the computer lab, focusing on course-related tasks, assignments, and projects. Offer guidance on end-user computing, software usage, programming concepts, and other course-specific topics.

Technical Assistance: Assist students and lecturers with technical issues related to the computer lab environment. Troubleshoot software and hardware problems, assist with software installations, and ensure all equipment is functioning correctly.

Instructional Assistance: Assist lecturers in delivering lab-based instruction. Help set up and configure lab equipment, distribute materials, and provide technical support during lectures, workshops, and hands-on activities.

Resource Management: Ensure that lab resources are properly maintained and available for teaching purposes. Manage the lab's inventory, including computers, peripherals, and software licenses.

Documentation and Reporting: Maintain detailed records of lab activities, attendance, and student progress. Prepare reports on lab usage, student performance, and any issues that require attention.

Training and Workshops: Assist in conducting training sessions or workshops for students and lecturers on the use of lab equipment, software applications, and technical tools. Develop instructional materials and guides as needed.

REQUIREMENTS

Qualification and Minimum Requirements:

Bachelor's degree in a relevant field (Computer Science, Information Technology, or similar).

Proficiency in Windows operating systems.

Proficiency in MSOffice 365.

Proficiency in programming .

Knowledge and Skills:

Strong technical aptitude and ability to troubleshoot common hardware and software issues.

Knowledge of programming languages, software development tools, and relevant software applications.

Effective communication and interpersonal skills to provide instructional support and collaborate with lecturers.

Detail-oriented with strong organisational skills to manage lab resources and maintain accurate records.

Teaching or tutoring experience in a related field is highly desirable.

Familiarity with Higher Education systems, policies, and procedures is advantageous.

STADIO is a multi-campus higher education institution with a national footprint, as well as hosting several student support centres in South Africa and Namibia. STADIO endeavours to widen access to top quality higher education and highlight the importance of equipping graduates with accredited qualifications that are recognised by industry. STADIO offers a variety of academic and career-focused undergraduate and postgraduate qualifications through both contact and distance learning modes of delivery.

STADIO is a comprehensive private higher education institution, consisting of the following academic schools:

• Administration and Management
• Architecture and Engineering
• Commerce
• Education
• Fashion
• Humanities
• Information Technology
• Law
• Media and Design
• Policing and Law Enforcement

Key Roles and Responsibilities:

The Computer Lab Teaching Assistant plays a pivotal role in supporting lecturers and students in the campus computer labs. This position is integral to fostering a productive and enriching learning environment by assisting with technical guidance, facilitating hands-on instruction, and offering academic support. The Computer Lab Teaching Assistant collaborates closely with lecturers to ensure that lab activities align with course objectives and enhance the educational experience.

• Academic Support : Provide one-on-one or small group academic support to students in the computer lab, focusing on course-related tasks, assignments, and projects. Offer guidance on end-user computing, software usage, programming concepts, and other course-specific topics.
• Technical Assistance : Assist students and lecturers with technical issues related to the computer lab environment. Troubleshoot software and hardware problems, assist with software installations, and ensure all equipment is functioning correctly.
• Instructional Assistance : Assist lecturers in delivering lab-based instruction. Help set up and configure lab equipment, distribute materials, and provide technical support during lectures, workshops, and hands-on activities.
• Resource Management : Ensure that lab resources are properly maintained and available for teaching purposes. Manage the lab's inventory, including computers, peripherals, and software licenses.
• Documentation and Reporting : Maintain detailed records of lab activities, attendance, and student progress. Prepare reports on lab usage, student performance, and any issues that require attention.
• Training and Workshops : Assist in conducting training sessions or workshops for students and lecturers on the use of lab equipment, software applications, and technical tools. Develop instructional materials and guides as needed. 

REQUIREMENTS

Qualifications and Experience | Minimum Requirements:

• Bachelor's degree in a relevant field (Computer Science, Information Technology, or similar).
• Proficiency in Windows operating systems.
• Proficiency in Microsoft Office 365.
• Proficiency in programming.

Key Attributes:

• Strong technical aptitude and ability to troubleshoot common hardware and software issues.
• Knowledge of programming languages, software development tools, and relevant software applications.
• Effective communication and interpersonal skills to provide instructional support and collaborate with lecturers.
• Detail-oriented with strong organisational skills to manage lab resources and maintain accurate records.
• Teaching or tutoring experience in a related field is highly desirable.
• Familiarity with Higher Education systems, policies, and procedures is advantageous.

Assumption Date:  01 January 2026

Closing date for applications:  03 October 2025

Company Description

Play Connect Early Learning Center is a thriving early learning community where every child feels safe, connected, and empowered to explore, grow, and become confident learners. Children engage in joyful, purposeful experiences that foster their growth and development. The center is dedicated to providing a nurturing environment that supports each child's unique learning journey.

Role Description

This is a full-time on-site role for a Education Assistant based in Bothasig. The Education Assistant will be responsible for supporting teachers in the classroom, engaging with children, and assisting with behavior management. Daily tasks include preparing educational materials, facilitating activities, and helping to create a positive learning environment. The role also involves communicating with parents and participating in staff meetings.

Qualifications

• Strong Interpersonal Skills and Communication abilities
• Experience in Education and Working With Children
• Proficiency in Behavior Management techniques
• Patience, creativity, and a passion for working with young children
• Ability to work collaboratively with staff and parents
• Relevant qualifications or certifications in early childhood education such as Matric or NQF level 4
• Prior experience in a similar role is a plus

Position: Teaching Assistant

We are seeking a motivated and skilled Teaching Assistant to join our dynamic team. The ideal candidate will bring both classroom support experience and strong technical skills to enhance teaching, learning, and administration within the school.

Key Requirements:

• Proficiency in Technology and IT
• Strong skills in Canva for design, creative content, and presentations
• Knowledge of Robotics and Coding (advantageous)
• Proficient in Microsoft Word, Excel, and PowerPoint
• Experience in Sound/Audio support for events and classroom use
• Previous teaching experience with Pre-Primary children
• Ability to multitask and assist with general administrative tasks
• A proactive, creative, and passionate approach to supporting both teachers and learner
• A team player with excellent communication skills
• Someone adaptable, innovative, and willing to learn
• An individual who can balance classroom support with administrative responsibilities
• A positive, child-centered mindset. The candidate needs to be enthusiastic about education and proficient in in technology integration and creative classroom support.

Assistant Professor, Teaching Stream - Computer Science

Date Posted: 09/19/2025
Closing Date: 10/27/2025, 11:59PM ET
Req ID: 44560
Job Category: Faculty - Teaching Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Dept of Computer Science
Campus: St. George (Downtown Toronto)

Description:

The Department of Computer Science in the Faculty of Arts and Science at the University of Toronto invites applications for two full-time teaching stream positions in the area of Computer Science. The appointments will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of July 1, 2026.

Applicants must have earned a Ph.D. degree in Computer Science or a related field by the time of appointment or shortly thereafter. Alternatively, candidates are required to have (i) a Masters in Computer Science or related field with (ii) at least 18 months of excellent teaching experience in a degree-granting program/post-secondary institution, and (iii) demonstrated excellent scholarly or creative professional activity in areas such as, but not limited to, exemplary Computer Science teaching practices, development of pedagogical software tools, course or curriculum development, or engagement with Computer Science Education research.

Candidates must have a demonstrated record of excellence in teaching at the undergraduate level in a degree-granting program, including lecture preparation and delivery, curriculum development, and development of course material/lectures. Additionally, candidates must possess a demonstrated commitment to excellence pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities.

Applicants must have a record of active professional development and teaching innovation, which may include (but is not limited to) participation in pedagogical training, courses and conferences, writing books or Computer Science Education publications; developing novel curricula, pedagogical, or co-curricular techniques; leading outreach or equity, diversity and inclusion (EDI) initiatives; developing and sharing teaching-related tools. Additional administrative, organizational, and mentoring experience will be weighted favourably, with an emphasis on skills required to coordinate large courses with multiple lecture sections, instructors, and teaching assistants, and the background and communication skills necessary to work collaboratively with members of the department.

Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, and the full teaching dossier submitted as part of the application (with required materials outlined below) as well as strong letters of reference. Responsibilities of the successful candidate will include undergraduate teaching, managing teaching assistants, creation of course materials, curriculum development, and service to the department.

Salary will be commensurate with qualifications and experience and is competitive with our North American peers.

The University of Toronto is an international leader in Computer Science research and education. We seek enthusiastic and innovative candidates whose teaching interests complement and enhance our existing departmental strengths. Candidates from all areas of computer science are encouraged to apply. The successful candidate will join a vibrant community of faculty, graduate students, and undergraduates who are engaged in pedagogical and curricular innovations, the development of new teaching technologies, and research in computer science education. Visit our CS Education Research Group website (

All qualified candidates are invited to apply online through AcademicJobsOnline at Candidates must submit a cover letter; a current curriculum vitae; a full teaching dossier, which must include (i) a statement of teaching philosophy, (ii) sample course syllabi, (iii) course evaluations, (iv) selected course materials developed by the candidate, (v) a list of any awards, and (vi) evidence of teaching-related scholarly activities; as well as outstanding recent letters of reference from referees of high standing.

Candidates must arrange to have at least 3-5 recent letters of reference (on letterhead, dated, signed and scanned) uploaded to AcademicJobsOnline directly by the writers. At least two reference letters should address the candidate’s excellence in teaching and at least one reference letter should address the candidate’s excellence in computer science. Three reference letters must be received for an application to be considered.

Equity, Diversity and Inclusion are essential to academic excellence as articulated in the 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.

All application materials, including recent reference letters, must be received by October 27, 2025.

Caution: This ad is “posted only” to the U of T faculty job board. Please see the information above for the 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, 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

Assistant Professor, Teaching Stream - Chinese Language

Date Posted: 09/04/2025
Closing Date: 10/30/2025, 11:59PM ET
Req ID: 43525
Job Category: Faculty - Teaching Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Dept of East Asian Studies
Campus: St. George (Downtown Toronto)

Description:

The Department of East Asian Studies in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time teaching stream position in Chinese language. The appointment will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of July 1, 2026.

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.

Qualifications

Applicants must have earned a PhD degree by the time of appointment or shortly thereafter, or a Master’s degree with at least 5 years of teaching experience, in Chinese language (e.g., linguistics, applied linguistics, language pedagogy), or a related area. Candidates must have a demonstrated record of excellence in teaching. We seek candidates whose teaching interests complement and enhance our existing department strengths. Candidates must have experience teaching Chinese language at all levels in a degree-granting program, including lecture preparation and delivery, curriculum development, and development of online material/lectures. Familiarity with North American pedagogical approaches is required. Additionally, candidates must possess a demonstrated commitment to excellent pedagogical inquiry and a demonstrated interest in teaching-related scholarly activities.

Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application (with required materials outlined below) as well as strong letters of reference.

Salary will be commensurate with qualifications and experience.

About the Department The Department of East Asian Studies is a multidisciplinary humanities department with established expertise in the histories, societies and cultures of East Asia. The department is home to an extremely popular undergraduate program and is strongly committed to graduate training. The department houses three in-demand language programs—Chinese, Japanese, and Korean. Language enrolments are growing and reflect the diverse populations that inhabit the city of Toronto. In addition, the University of Toronto’s global appeal attracts a large number of international students who participate in our language programs. Information about the department and the Chinese language program can be found at .

All qualified candidates are invited to apply online by clicking the link below. Applicants must submit a cover letter; a current curriculum vitae; and a complete teaching dossier which includes sample syllabi and course materials, teaching evaluations, a (link to a) teaching demonstration video, and a teaching statement that includes general teaching philosophy and specific approaches to teaching students from diverse linguistic and cultural backgrounds.

Equity, Diversity & 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.

Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each referee within 48 hours after an application is submitted. Applicants remain responsible for ensuring that references submit recent letters (on letterhead, dated and signed) by the closing date. At least one reference letter must primarily address the candidate’s teaching. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ.

Submission guidelines can be found at . Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you have any questions about this position, please contact Professor Janet Poole at .

All application materials, including recent reference letters, must be received by October 30, 2025.

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.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see

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

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Date Posted: 07/14/2025
Closing Date: 11/17/2025, 11:59PM ET
Req ID: 44011
Job Category: Faculty - Teaching Stream (continuing)
Faculty/Division: Faculty of Arts & Science
Department: Department of Statistical Sciences
Campus: St. George (Downtown Toronto)

Description:

The Department of Statistical Sciences in the Faculty of Arts and Science at the University of Toronto invites applications for a full-time teaching stream position in the area of Statistical Sciences. The appointment will be at the rank of Assistant Professor, Teaching Stream with an anticipated start date of July 1, 2026.

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.

The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of excellence in teaching.

We are seeking candidates whose teaching interests will complement and enhance the department’s strengths in education . Applicants must have teaching experience in statistics, biostatistics, or data science within a degree-granting program, at the undergraduate level for students specializing in statistics or related fields with strong mathematical and computational components. This includes experience in course design, lecture preparation and delivery, curriculum development, and the creation of online educational materials.

Candidates must show a strong commitment to pedagogical excellence and innovation, as evidenced by engagement in teaching-related activities and pedagogical inquiry. A demonstrated interest in advancing teaching practices and curriculum development is essential.

Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content that incorporates real-world data and applied statistical methods. Furthermore, we prefer that candidates have experience in interdisciplinary collaboration as a statistician or data scientist on projects involving genuine applications of statistical or data science methods.

Preferred qualifications include a demonstrated interest in supervising undergraduate research projects, experience managing large enrolment courses and teaching assistants, and a collaborative approach to course coordination and teaching.

Evidence of excellence in teaching and commitment to pedagogical scholarship should be demonstrated through teaching accomplishments such as teaching awards, peer-reviewed presentations at major conferences, a comprehensive teaching dossier (as outlined in the application instructions below), and strong letters of reference from referees of high standing.

Salary will be commensurate with qualifications and experience.

All qualified candidates are invited to apply online at Academic Jobs Online, and must submit a cover letter; a current curriculum vitae; and a complete teaching dossier to include a teaching statement, sample syllabi and course materials, and teaching evaluations.

E quity, 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.

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. At least one reference letter must primarily address the candidate's teaching.

All applicant materials, including recent signed reference letters, must be received byNovember 17, 2025.

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 aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening 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 .