Remote Physics Researchers; Part-time - AI Trainer

What you'll do

Part of a leading AI lab as part of their extended workforce.

• Author and review challenging physics problems used to train and evaluate frontier AI models.
• Evaluate model outputs on tasks ranging from analytical derivation and mechanism prediction to numerical modeling, experimental design, and literature reasoning.
• Surface areas where current models fail — especially the kinds of mistakes a working PhD physicist would catch immediately.
• Collaborate with a small program team and other senior contributors.

• First‑author or co‑first‑author publications in journals at the level of Physical Review Letters (PRL), Physical Review X (PRX), Reviews of Modern Physics, Nature Physics, Nature, Science, PNAS, Nature Communications, Physical Review A/B/C/D/E, Physics Letters B, Journal of High Energy Physics (JHEP), Astrophysical Journal (ApJ), Monthly Notices of the Royal Astronomical Society (MNRAS), Quantum, Communications Physics, or top specialty journals.
• Doctoral or postdoctoral training at a top‑20 global institution for physics or STEM.
• Competitive fellowships such as NSF GRFP, Hertz, DOE Computational Science Graduate Fellowship (CSGF), DOE Early Career, Sloan Research Fellow, Packard Fellow, Simons Investigator / Junior Fellow, Moore Foundation, Hubble Fellow (NASA), Einstein Fellow, Sagan Fellow, Kavli (KITP) Fellow, Marie Curie / MSCA, Fulbright, Rhodes, Marshall, Gates Cambridge, Schmidt Science Fellow, Knight‑Hennessy, SNSF Postdoc, NSF CAREER, APS Fellow, or equivalent.
• Issued patents, spin‑out companies, or grants where the contributor was a named PI or co‑PI.
• International Physics Olympiad (IPhO) Gold/Silver/Bronze medalist.
• Currently or recently in an active research role:
  PhD candidate, postdoc, instructor, faculty, principal scientist, or industry researcher.

Outstanding senior PhD students and recent graduates with strong publication records are explicitly encouraged to apply — years of experience matter less than the depth of the research output.

This is a W‑2 employment position with Cincinnatus LLC, requiring a part‑time commitment of 4 to 16 hours per week.

Part‑time: 4 to 16 hours per week.
W‑2 employment with Cincinnatus LLC; payroll, benefits, and compliance handled by Cincinnatus.
Compensation reflects research seniority and credentials.
No fixed end date; contributors continue as long as the program needs their expertise.

Cincinnatus LLC is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Cincinnatus LLC is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process.