STEM PhD Qualifier Contributor – AI Training Data

About the role

Alignerr is seeking PhD graduates and current doctoral candidates in STEM fields to provide authentic qualifying exam materials for training advanced AI models. This remote, per‑submission contract lets you monetize existing exam documents with minimal additional effort.

Key responsibilities

• Submit one complete PhD qualifying exam per submission, including all original problem statements.
• Provide fully worked‑out solutions for every problem, detailed enough for another PhD student to follow.
• Accurately populate required metadata (university, department, exam year, structure, problem count).
• Package the exam and solutions into a single, clearly organized PDF.
• Confirm you hold the rights to share the material.

Required profile

• Current or former PhD student from an accredited STEM doctoral programme.
• Exam must be from Mathematics, Statistics, Physics, Chemistry, Engineering, Computer Science, Economics, or a closely related discipline.
• You personally sat for the exam and retained the original materials.
• The exam is not publicly posted and you can legally share it.
• Strong written English for accurate metadata entry.

Required skills

What we offer

• Earn per accepted submission with no cap on the number of submissions.
• Fully remote and flexible schedule.
• Quick QA turnaround, typically within a few business days.
• Opportunity to directly influence frontier AI model evaluation.