Please complete the form below to apply to be a mentor for Oxford Unbounded. If you have any questions or if you need any support to complete the application, please email @email
Oxford Unbounded is an online mentoring programme to help students from underrepresented backgrounds at Oxford to achieve top grades at Maths GCSE/National 5s. Mentors will tutor groups of 4-5 students on a weekly basis during the summer between Y10 and Y11 and then continue to provide support on a less frequent basis during Y11. We understand over the summer, there may be the occasional week that you are unavailable; we will work with you to rearrange/cover these sessions as necessary.
The pilot programme will run from June 2026 to April 2027 with training sessions prior to this.
Provisional mentor schedule:
- Mentor training - 2hrs
- Safeguarding training - 1hr (eLearning course) and 2hrs (webinar)
- Programme launch session - 1hr
- Weekly online mentoring sessions between 6/7/26 and 11/9/26 - 10 x 1.5hrs (plus 50% prep time)
- Twice a half term online mentoring sessions between Sept '26 and April '27 - 8 x 1hr (plus 50% prep time)
- In-person residential in Oxford in April '27 - dates/timings tbc
All teaching materials will be provided, however, mentors will be expected to review students' pre-session work and to adapt sessions to fit the needs of their group.
For this work, you will be paid as a casual member of staff at an hourly rate which is currently £18.80 plus 12.07% rolled-up holiday pay. This pay rate covers mentor sessions, prep time, and training sessions. You will need the right to work in the UK.
When completing this application, please be prepared to upload a copy of your CV. Please note that you will be unable to save this application before it is submitted so make sure you have everything needed ready.
The deadline for submitting an application is 9:00 am Monday 23 February 2026. Late submissions will not be accepted. Shortlisted candidates will then be invited to complete a mentoring based task that will inform the final selection process.