Remote AMO Physics Expert – Optical Materials Review

AI Trainer Jobs

United States

Remote

USD 55.000 - 110.000

Teilzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

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Zusammenfassung

AuraOne is seeking a Physics Expert (AMO / Optical Properties of Materials) for a remote review track. You will evaluate AI outputs, reproduce key steps, and document the methods so the modeling team can train on correct and incorrect reasoning.

There, you will grade derivations, flag errors with structured severity, and compile worked examples. Candidates have graduate-level physics training or equivalent research experience and can work asynchronously for at least 10 hours per week.

Qualifikationen

  • Graduate-level training or equivalent applied experience in physics or a closely related field.
  • Hands-on experience publishing, teaching, or advising on the topic at a professional level.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that cites methods, papers, or worked examples.
  • Reliable async availability for at least 10 hours per week.

Aufgaben

  • Review AI outputs against current physics methods, conventions, and prior work.
  • Reproduce or sanity-check key derivations, calculations, or experimental claims.
  • Flag dimensional, methodological, and citation errors with structured severity tags.
  • Capture the corrected reasoning or worked example so the modeling team can train on it.

Kenntnisse

Scientific reasoning
Method validation
Citation review
Quantitative analysis
Physics

Ausbildung

PhD or equivalent research experience

Jobbeschreibung

AuraOne is seeking a Physics Expert (AMO / Optical Properties of Materials) for a remote review track. You will evaluate AI outputs, reproduce key steps, and document the methods so the modeling team can train on correct and incorrect reasoning.

There, you will grade derivations, flag errors with structured severity, and compile worked examples. Candidates have graduate-level physics training or equivalent research experience and can work asynchronously for at least 10 hours per week.

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