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This job expired on 19/07/2026. It no longer accepts applications.
PhD Physicist – Frontier Reasoning Trajectory Writer (AI Trainer)
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Job description
About the role
Mercor is seeking a PhD‑level physicist to create high‑quality "golden trajectories" for challenging physics problems. You will work remotely, collaborating with a frontier large‑language model (LLM) to produce step‑by‑step, publication‑grade derivations that can be used as training data for AI systems.
Key responsibilities
- Generate complete, sound reasoning trajectories for hard theoretical physics problems.
- Iterate with a frontier LLM, providing hints, correcting errors, and refining the solution flow.
- Produce LaTeX‑formatted derivations and Python‑based sanity‑check plots.
- Deliver 1–2 tasks per week, each averaging about 7 hours of work.
Required profile
- PhD in physics or final 1–2 years of a PhD program from a reputable institution.
- Theoretical or computational specialization in astrophysics, condensed‑matter theory, quantum/quantum‑information, or particle/high‑energy physics.
- Strong attention to detail and ability to produce publication‑grade documentation.
- Availability for roughly 15 hours per week.
Required skills
- Fluency in LaTeX for mathematical derivations.
- Proficiency in Python for numerical checks and plotting.
- Experience with iterative LLM workflows (prompting, error detection, refinement).
What we offer
- Independent contractor engagement with full remote flexibility.
- Hourly rate of USD 80–120, paid weekly via Stripe or Wise.
- No access to confidential client data; tasks are self‑contained.
- Projects may be extended or concluded based on performance.
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