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This job expired on 06/08/2026. It no longer accepts applications.
PhD Physicist – Frontier Reasoning Trajectory Writer (AI Trainer)
Hatch · Sydney
Job description
About the role
Mercor is looking for a PhD‑qualified physicist to create high‑quality "golden trajectories" – step‑by‑step solution walkthroughs for challenging physics problems. You will work remotely, collaborating with a frontier large language model (LLM) to draft, refine, and polish reasoning paths that can be used as training data.
Key responsibilities
- Produce complete, publication‑grade derivations for hard physics problems using LaTeX.
- Run iterative LLM workflows, providing hints, spotting reasoning errors, and shaping clean trajectories.
- Perform numerical sanity checks and generate plots with Python.
- Deliver roughly one to two tasks per week, each averaging about 7 hours of work.
Required profile
- PhD in physics or within the final 1‑2 years of a PhD program from a reputable institution.
- Specialisation in theoretical or computational astrophysics, condensed‑matter theory, quantum physics/information, or particle/high‑energy physics.
- Strong attention to detail and ability to produce publication‑standard derivations.
Required skills
- Fluency in LaTeX for mathematical derivations.
- Proficiency in Python for numerical checks and plotting.
- Experience with iterative LLM prompting and error correction.
What we offer
- Fully remote, flexible schedule (≈15 hours/week).
- Independent‑contractor arrangement with weekly payments via Stripe or Wise.
- Opportunity to work on cutting‑edge AI‑training data for physics.
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Hatch
Sydney
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