Inorganic Materials, Semiconductor & Superconductor Experts (Train AI Models Part Time!)

About the role

This is a hands-on role that blends your research and experimental depth in inorganic materials, semiconductors, or superconductors with cutting-edge AI research. Your expertise will directly shape how advanced models reason about materials, devices, and processes.

Responsibilities

• Apply your domain expertise to design, review, and evaluate challenging scientific problems
• Assess and improve AI-generated reasoning across synthesis, fabrication, and characterization
• Help define and structure high-quality domain data that downstream models learn from
• Collaborate with the research team to raise the scientific rigor of the models

Requirements

• Hands-on experimental experience in inorganic materials, semiconductors, or superconductors — Must Have
• Depth in one or more of:
  • Inorganic synthesis (solid-state, solution, solvothermal, sol-gel)
  • Superconducting materials and thin-film growth (REBCO/HTS, MOCVD, sputtering, IBAD)
  • Semiconductor materials and device fabrication (epitaxy/MBE, CVD, etch, clean-room microfabrication)
• Experience with materials or device characterization (XRD, SEM, TEM, spectroscopy, electrical/transport measurements)
• Experience with process development, optimization, or scale-up (nice to have)
• Advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, physics, or a related engineering field
• Ability to communicate complex technical concepts clearly and precisely

Schedule

Up to 40 hours/week (minimum 10)

Location

US-based