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)
Remote Atomic Layer Deposition (ALD) Experts - AI Trainer ($84-$84 per hour) • Moore, Oklahoma, US
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