Research Assistant for AI Language Data Collection
This opportunity is part of an ongoing research project to train AI systems. You will gain insight into research and data collection methods and have an impact in a cutting-edge and exciting field.
In-person sessions will run on Thursday afternoons from 2pm-4pm in the Dalton Building starting on the 19th June until 17th July. More information will be provided post-sign-up and your time spent on this work can be flexible. Participants may continue to work remotely on annotations after attending an in-person session.
Each session will focus on a different annotation task and more data for each task will be available to complete after the session. Students may choose how to distribute their time across tasks to earn RISE points. In total, the expectation is for students to spend 20 hours over a 5-week period (~4 hours per week, including in-person sessions) on annotation tasks.
Associated Badges:
In A Nutshell...
- Collaborate ... with students across the university
- Upskill ... Gain research experience that you can put on your CV
- Focus ... Practice skills of focus and self-motivation
- Show Leadership ... and the opportunity to demonstrate creative problem solving
- Earn up to 80 Rise points ... which can be recognised within your degree.
Schedule
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14:00 to 16:00 on 26/06/25 - DBC2.33
Session 2 - Vehicle advert annotation
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14:00 to 16:00 on 03/07/25 - DBC3.53
Session 3 - Text Simplification Data Collection
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14:00 to 16:00 on 10/07/25 - DB C2.33
Session 4 - Text Simplification Data Collection
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14:00 to 16:00 on 17/07/25 - DBC2.33
Session 5 - Checkworthiness Estimation Annotation
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14:00 to 16:00 on 24/07/25 - DBC2.33
Session 6 - Catch up annotation session
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19/06/25 to 25/07/25
Data Collection
On-time delivery of human-created annotations meeting specifications in annotation guidelines.