STEM PhD Qualifier Contributor for AI Training Data

About the role

We are looking for PhD graduates and current doctoral candidates in STEM fields to submit their qualifying exams, which will be used to train frontier AI models. The work is fully remote, flexible and paid per accepted submission.

Key responsibilities

• Submit one complete PhD qualifying exam per submission, including all original problem statements.
• Provide fully worked‑out solutions for every problem, written at a level a peer PhD student can follow.
• Enter accurate metadata (university, department, exam year, structure, problem count) and package the material as a single, clearly organized PDF.
• Confirm you hold the rights to share the exam material and include English translations if the original is in German.

Required profile

• Current or former PhD student from an accredited doctoral programme in Mathematics, Statistics, Physics, Chemistry, Engineering, Computer Science, Economics or a related STEM discipline.
• You personally sat for the qualifying exam and retained the original materials.
• The exam is not publicly posted and you can confirm the right to share it.
• Strong written English for metadata and submission accuracy.

Required skills

What we offer

• Payment per accepted submission with no cap on the number of submissions.
• Fully remote work that you can complete on your own schedule.
• Opportunity to have your doctoral work directly contribute to cutting‑edge AI development.