Course Tutor – Artificial Intelligence & Computer Science
Job Title: Course Tutor – Artificial Intelligence & Computer Science
- Number of Positions: 1
- Location: Oxford
- On-Site Requirement: This is a 100% in-person, on-site role. (Please note: Accommodation is not provided).
- Contract Type: Short-term / Seasonal.
- Programme Dates: August 2nd – August 15th, 2026.
About OSP
The Oxford Scholars Programme (OSP) is a prestigious summer school designed for high-achieving students aged 14–18 years from around the world. Our mission is to provide an intellectually stimulating academic experience that fosters personal growth, critical thinking, and lifelong skills.
We are seeking a specialist in AI and Computer Science to lead this high-tech course. This role is for an academic who can demystify complex algorithms and inspire students to build, code, and innovate using industry-standard tools like Python.
The Role
In this role, you are the technical lead for the AI & Computer Science cohort. You own the transition from theoretical computer science to applied artificial intelligence. You will guide students through the architecture of neural networks, the logic of algorithms, and the practicalities of model training.
What You Will Own
- Technical Delivery: Leading 9 days of interactive morning classes within this 14-day programme. You will take our 80% core content and add your own 20% “expert’s edge” to explore machine learning, deep learning, and NLP. The course runs for 10 teaching days within this 14-day programme.
- Coding & AI Workshops: Facilitating afternoon workshops where students build and experiment. You will support them in training machine learning models and developing projects like image classification tools or data analysis scripts.
- The “Tutorial” Experience: Managing a high-impact learning environment with a maximum of 10–12 students. This small class size allows you to provide the personalized mentorship and academic rigor characteristic of the Oxford tutorial system.
- Material Design: While OSP provides the syllabus outline and handbook, you own the creation of all session materials. This includes designing professional slides/presentations, coding exercise sheets, and technical resource packs to ensure seamless, high-level delivery.
- University-Style Rigor: Modeling the “Oxford Tutorial” approach to STEM. You are responsible for fostering intellectual independence and problem-solving skills, preparing students for undergraduate-level computer science.
- Assessment & Feedback: Owning 3 hours of marking/feedback to provide scholars with the technical critiques needed to refine their code and logic.
- Safeguarding & Wellbeing: Maintain awareness of student welfare and escalate concerns in line with programme safeguarding policies.
Compensation
- Teaching: Approximately 31.5 teaching hours, paid £40–£50 per hour (dependent on expertise).
- Preparation Time: 8 hours paid prep at £25 per hour.
- Training: Paid induction at £25 per hour (typically 2–3 hours total).
- Marking time: 3 hours of paid marking time at £25 per hour.
- Total Estimated Compensation: £1,585 – £1,925 (includes teaching, prep, marking time, and mandatory training).
Daily Format
Teaching typically follows the below format:
- Morning Lectures: 09:00–11:00 (including a scheduled break)
- Afternoon Workshops: 14:00–16:00
The course runs for 9 teaching days within a 14-day programme.
Candidate Profile
You are a technical expert with the ability to translate “code-speak” into accessible, inspiring concepts. You possess the patience to debug with a beginner and the depth to challenge an advanced student.
Essential Criteria
- Current PhD candidate or above at Oxford.
- Prior teaching experience, preferably in tutorial settings at Oxford or a similar institution.
- Ability to teach a wide range of topics within the subject area (Python, Machine Learning, Data Analysis, Neural Networks).
Desirable Criteria
- Experience teaching non-native English speakers.
- Proven expertise in designing and delivering academic content for young learners.
- Relevant experience of residential summer schools or tech-focused summer camps.
- Familiarity with student-led AI project development.
Application Process
Interested candidates should complete our application form and attach a current CV.
- Shortlisted applicants will be invited to an online interview
- Successful candidates will undergo an enhanced DBS check and provide right-to-work documentation
- Personal data will be handled in accordance with GDPR regulations.
Application Deadline: 20th March 2026
(Interviews will be conducted on a rolling basis, and the position may be filled as soon as a suitable candidate is found.)
OSP is committed to safeguarding and protecting children. All staff members undergo enhanced DBS checks. Only candidates who are successful in their application will be contacted. This advertisement is inclusive and does not discriminate based on gender, marital status, race, religion, colour, age, disability, or sexual orientation. Applicants are evaluated solely on their skills, qualifications, and suitability for the role. Requests for reasonable adjustments—such as accessible documents or interview accommodations—are welcomed and should be shared with the recruitment team.
