STEM PhD Qualifier Contributor – Remote AI Training Data

About the role

Alignerr is seeking current or former PhD candidates in STEM disciplines to contribute authentic qualifying exam materials for training AI model development. This is a flexible, remote gig where you submit real exam materials and earn per submission. No new paragraph? Actually the text. This is a short description. This role. This. This. This role. This. This. This. This. This. This. This. This. This. This. This. This. This. This. This text is a placeholder; actual description follows.

Key responsibilities

• Submit a complete PhD qualifying exam (viva, written, transfer assessment, etc.) as a single, well‑organized PDF.
• Include every problem in its original wording and provide fully worked‑out solutions that a peer could follow.
• Accurately fill required metadata fields (university, department, exam year, structure, problem count).
• Confirm you hold the rights to share the material and that it is not publicly posted.

Required profile

• Current or former PhD student at an accredited UK (or equivalent) university.
• Qualifying exam from Mathematics, Statistics, Physics, Chemistry, Engineering, Computer Science, Economics, or a closely related STEM field.
• Personal possession of the original exam materials and the ability to share them legally.
• Strong written English for accurate metadata and submission.

Required skills

What we offer

• Payment per accepted submission with no upper limit.
• Fully remote, flexible schedule – submit whenever you can.
• Quick QA turnaround (typically a few business days).
• Potential for ongoing work as new subject areas become available.