We are working on PhyR‑Bench, an AI evaluation project for physics‑research scenarios. It focuses on checking whether AI Agents truly understand physics, rather than merely appearing to do so.

We are recruiting part‑time contributors with physics‑research backgrounds (teachers or PhD candidates) to create test questions remotely. Payment is per‑question.

【Job Responsibilities】

1. Select task snippets that can be automatically verified for correctness as question materials from your published papers, research calculations and simulation codes.

2. Provide the standard solution and correct answer for the task.

3. Sort out the core physical knowledge points examined by this question, and explain at which step humans or AI without relevant knowledge are likely to make mistakes.

4. Offer several verification ideas to judge whether the result is correct purely based on physical laws (e.g. conservation laws, symmetry, limiting behaviors).

5. Engineering work such as automated question‑scripting and runtime‑environment setup can be completed with AI coding tools or technical support. You are not required to write code yourself; your core contribution lies in providing physical‑judgment expertise.