Lecturer – Artificial Intelligence (Part-Time) at Rosebank College
Job Overview
- Job Title: Lecturer – Artificial Intelligence (Part-Time)
- Company: ADvTECH Group
- Institution: Rosebank College – The Independent Institute of Education (IIE)
- Division: Rosebank International
- Location: Bloemfontein, Free State
- Employment Type: Part-time
- Industry: Education Management
- Department: Education
- Experience Level: Entry Level (as listed in the advert)
- Posted Date: 14 October 2026
- Closing Date: 28 October 2026
- Salary: Market-related
About the Institution
Rosebank College, part of The Independent Institute of Education (IIE) and the ADvTECH Group, is a private higher education institution registered with South Africa’s Department of Higher Education and Training. With more than 70 years of experience in tertiary education, the institution is committed to delivering quality education and supporting student success.
Job Description
Rosebank College is seeking a suitably qualified part-time Lecturer in Artificial Intelligence to deliver lectures and support students in developing their knowledge and understanding of artificial intelligence, machine learning and related computational disciplines.
The successful candidate will be responsible for teaching allocated modules, preparing students for assessments, monitoring academic performance and providing appropriate student support. The lecturer will also contribute to assessment development, academic administration and professional development activities.
Key Duties and Responsibilities
- Deliver lectures in Artificial Intelligence according to module requirements and academic schedules.
- Prepare students for assessments and ensure that module content is covered according to prescribed academic plans.
- Develop assessments in collaboration with the Central Academic Team.
- Update the Learning Management System and provide feedback to students.
- Monitor student participation, engagement and assessment submissions.
- Identify students at risk academically and provide appropriate support or escalate concerns.
- Manage academic resources and liaise with the Information Centre when necessary.
- Attend and participate in academic meetings.
- Review and analyse student results to evaluate module performance.
- Support the monitoring of at-risk students in assigned modules.
- Apply relevant knowledge of artificial intelligence, machine learning, programming and data analytics in teaching activities.
- Complete academic professional development interventions to improve teaching practices and professional expertise.
Minimum Requirements
Applicants must meet at least one of the following academic pathways:
- A Master’s degree at NQF Level 9 in Artificial Intelligence and Machine Learning, Information Systems, Computer Science, Information Technology, Computing or a closely related discipline.
OR
- A Master’s degree at NQF Level 9 in a business-related field, with an Information Technology or Information Systems module or research component that includes Information Technology or Information Systems.
Additional requirements include:
- Two to three years of lecturing or formal tutoring experience.
- A copy of the academic transcript.
- A qualification at least one NQF level higher than the qualification being taught.
Relevant Experience
Candidates should have relevant teaching or industry experience in areas such as:
- Artificial Intelligence (AI).
- Machine Learning.
- Data Analytics.
- Programming and computational disciplines.
- Higher education teaching and learning.
Experience in research, scholarly publications and postgraduate student supervision will be advantageous. One to three years of industry-specific experience will also be beneficial.
Key Skills and Competencies
- Understanding of the South African higher education system and its regulatory framework.
- Knowledge of teaching and learning theories and interventions.
- Ability to provide academic support to students.
- Familiarity with digital academic platforms and Learning Management Systems.
- Strong communication and interpersonal skills.
- Ability to adapt to changing academic and technological environments.
- Good organisational and time-management skills.
- Attention to detail and the ability to follow institutional procedures.
- Ability to meet deadlines and work effectively under pressure.
Working Hours
Classes are scheduled between 08:00 and 17:00, Monday to Friday. Actual working hours will depend on the modules allocated to the successful candidate.
Salary and Benefits
The salary is market-related. Additional benefits have not been specified in the vacancy advert