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About the Role
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.
What You'll Do
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.
Independent contractor engagement. Apply via the link below - Mercor handles onboarding and pays weekly via Stripe or Wise.
Common Questions
Mercor has a reliability rating of very reliable based on the listings we track, with an onboarding time of 1-3 weeks (interview + assessment + trial). See our full Mercor review for the details behind that rating.
Applying takes you to Mercor's own website, where the application is completed. We are not a recruiter or employer and do not process applications directly - we may be recorded as the referring source.
$84/h - Independent contractor engagement. Apply via the link below - Mercor handles onboarding and pays weekly via Stripe or Wise.
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.
