Remote ALD & Thin-Film Expert for AI Research

Mercor; New York (NY); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Mercor is seeking experts in Atomic Layer Deposition (ALD) and thin-film processes to support a frontier AI research lab building models for semiconductors 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 deposition, materials, and semiconductor processes.

Formación

• Hands-on ALD process development and troubleshooting.
• Advanced degree or equivalent hands-on experience in materials science or related field.
• Clear written English and ability to explain technical reasoning precisely.
• Experience with thin-film deposition for semiconductor applications.
• Experience with materials characterization techniques (XRD, SEM, TEM, XPS, ellipsometry).

Responsabilidades

• Contribute domain expertise across ALD process development, precursor chemistry, and thin-film characterization 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 ALD and semiconductor processing.
• Rate and rank model outputs against defined scientific criteria, with clear written reasoning.
• Structure technical knowledge — process parameters, recipes, characterization results — into well-organized, model-ready data.
• Deliver reliable, high-quality work within defined timelines.

Conocimientos

ALD process development

precursor chemistry

thin-film characterization

XRD

SEM

TEM

XPS

ellipsometry

written English

Educación

PhD in materials science

MS in chemistry/chemical engineering/physics

Herramientas

XRD

SEM

TEM

XPS

ellipsometry

Descripción del empleo

Mercor is seeking experts in Atomic Layer Deposition (ALD) and thin-film processes to support a frontier AI research lab building models for semiconductors 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 deposition, materials, and semiconductor processes.