Location: | United Kingdom |
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Salary: | Up to £2,206 (dependent on class size) |
Hours: | Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 4th March 2025 |
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Closes: | 19th March 2025 |
Job Ref: | DIGRQ000470 |
Role Overview
CEG Digital wishes to engage the services of a self-employed contractor as an Online Tutor for our MA in Artificial Intelligence, running in partnership with the University of Southampton. We are looking for candidates with experience of teaching and marking in higher education (ideally at postgraduate level) and a completed PhD qualification in an AI related field.
The Online Tutor plays a role in the success and vibrancy of the University’s online programmes and are an academic presence in the modules to which they are assigned. They are usually the first point of contact for academic queries from students. Each Online Tutor will have a group of up to 30 students. During a typical week, the Online Tutor will lead a 1-hour online webinar, engage with students through various asynchronous online activities and respond and triage student queries. Online Tutors also first-mark summative assessments in-line with the University’s assessment regulations.
This is a flexible, part-time, role. Note that there will be key dates and contact points you will be required to adhere to which are driven by assessment dates in the course calendar. Full details will be provided prior to the start of the module.
The Course
This MA conversion course has been designed for professionals in any sector, including healthcare, agriculture, banking, or beyond. Students may not have any prior AI qualifications or experience. Studying machine learning and statistical learning as well as AI’s social impact, this course will provide a comprehensive foundation to help students learn to use AI responsibly and effectively through one of three pathway options: MA Artificial Intelligence, MA Artificial Intelligence (Criminal Justice Systems), and MA Artificial Intelligence (Digital Transformation).
The Module
Introduction to AI
This introductory module explores human-centred AI, focusing on the ethical, social and professional implications of AI technologies. Students will explore how to design AI systems that enhance human capabilities while promoting inclusivity and minimising harm. Students will learn about how artificial intelligence can be applied in various contexts, and critically engage with current research. Topics include AI in daily life, human-AI interactions, ethics and bias.
Future Modules
Expressions of interest are also welcome from applicants with expertise relevant to future modules of the course, including:
Please see the Southampton Online MA Artificial Intelligence digital brochure for module overviews.
Important Information
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