ALD Process Expert - Fully Remote | Upto $84/hr
Budget / Salary$84–84
TypeContract
LocationUnited States
Posted3 hours ago
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Atomic Layer Deposition (ALD) Experts
Type:Contract
Compensation:$84/hour
Location:Remote
Commitment:10–40 hours/week
Role 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.
Qualifications
Must-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.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Atomic Layer Deposition (ALD) Experts
Type:Contract
Compensation:$84/hour
Location:Remote
Commitment:10–40 hours/week
Role 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.
Qualifications
Must-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.
Application Process (Takes 20–30 mins to complete)
Upload resume
AI interview based on your resume
Submit form
Resources & Support
For details about the interview process and platform information, please check:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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