Experts en Dépôt de Couches Minces Atomiques (ALD)

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)