Atomistic & Surface Modeling Experts (Computational Materials & Catalysis)
$84 / hour
Verified partner opportunity
$84 / hour
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.
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)
This opportunity may suit professionals with relevant experience in AI evaluation, Physics, Research. Review the official description and requirements before applying.
The listing states $84 / hour. Confirm the final rate, workload, and payment terms during the official application process.
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The listing states $84 / hour. Confirm the final rate, workload, and payment terms during the official application process.
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