Remote AMO/Optical Physics Expert (PhD) for AI Training

RemoteJobsOne

Houston (TX)

Remote

USD 138,000 - 276,000

Part time

28 hours ago
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Job summary

RemoteJobsOne is seeking a Physics Expert (PhD) in AMO or optical properties of materials to contribute advanced knowledge to a specialized customer project focused on atomic and optical properties. In this role, you'll apply your expertise to help train next‑generation AI systems.

No prior AI experience is required—your domain knowledge is what matters. Work is fully remote and available to candidates worldwide; the schedule is 5–10+ hours per week with fully flexible hours, including after

Qualifications

  • Advanced degree in Physics with focus on AMO physics or optical properties of materials.
  • Proven experience with ab initio quantum chemistry methods in polarizability calculations.
  • Deep understanding of atomic-structure computation techniques for ytterbium isotopes (Yb-171 and Yb-174).
  • Ability to identify sigma vs pi transitions in atomic contexts.

Responsibilities

  • Provide expert insights on AMO physics, focusing on optical properties of materials.
  • Review and discuss ab initio configuration interaction methods for polarizability calculations.
  • Guide atomic-structure calculations for Yb-171 and Yb-174 isotopes.
  • Differentiate between sigma and pi transitions in atomic spectra and explain principles.
  • Participate in adaptive, spoken AI interviews with concrete examples from shareable research.

Skills

AMO physics
Polarizability calculations
Atomic-structure computations
Scientific communication

Education

PhD in Physics (AMO or related)

Tools

Ab initio methods
Polarizability calculations

Job description

RemoteJobsOne is seeking a Physics Expert (PhD) in AMO or optical properties of materials to contribute advanced knowledge to a specialized customer project focused on atomic and optical properties. In this role, you'll apply your expertise to help train next‑generation AI systems.

No prior AI experience is required—your domain knowledge is what matters. Work is fully remote and available to candidates worldwide; the schedule is 5–10+ hours per week with fully flexible hours, including after

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