Role brief
Job description
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.
Key Responsibilities:
* 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.
You're a strong fit if you have:
* Hands-on experience developing, optimizing, or troubleshooting ALD processes.
* Deep knowledge of thin-film deposition for semiconductor or advanced-packaging applications.
* A strong grasp of precursor chemistry and surface reaction mechanisms.
* Experience with materials characterization (XRD, SEM, TEM, XPS, ellipsometry, etc.).
* An advanced degree (PhD/MS) or equivalent hands-on experience in materials science, chemistry, chemical engineering, or physics.
* Clear written English and the ability to explain technical reasoning precisely.
Role Details:
* Type: Long-term, ongoing engagement
* Engagement: Up to 40 hours/week (minimum 10)
* Work arrangement: Remote (US-based)