Remote Inorganic Materials Scientist & Devices Expert

Obsidian; New York (NY); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Competitive pay

Job summary

Mercor is seeking experimental scientists and engineers across inorganic synthesis, characterization, superconductors, and semiconductors to support a frontier AI research lab building models for materials science and the physical sciences.

This is hands‑on, expert‑level work: you’ll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about materials, devices, and

Qualifications

• Hands-on experimental experience in inorganic synthesis, superconductors, or semiconductors.
• Strong materials/device characterization skills (XRD/SEM/TEM/spectroscopy).

Responsibilities

• Contribute domain expertise across synthesis, characterization, fabrication, and device physics to build high-quality training and evaluation data.
• Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy.
• Design and solve challenging, expert-level problems in area of specialization.
• Rate and rank model outputs against defined scientific criteria with clear written reasoning.

Skills

Inorganic synthesis

Materials characterization

Device physics

Thin-film growth

English writing

Experimentation

Education

PhD in Materials Science/ Chemistry/ Physics

MS in related field

Tools

XRD

SEM

TEM

Spectroscopy

Electrical measurements

Job description

Mercor is seeking experimental scientists and engineers across inorganic synthesis, characterization, superconductors, and semiconductors to support a frontier AI research lab building models for materials science and the physical sciences.

This is hands‑on, expert‑level work: you’ll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about materials, devices, and