Atomic Layer Deposition AI Training Expert

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI hires and contracts specialists for projects that help develop the next generation of artificial intelligence, including advanced scientific and engineering systems.

Creating an OpenTrain account is free, and qualified contributors can build a profile and apply in minutes for remote AI training opportunities.

• Remote contract work with OpenTrain AI
• US-based opportunity
• Part-time engagement with long-term, ongoing potential

About AI Training in Physical Sciences

AI training is the human side of building modern artificial intelligence. Subject-matter experts create examples, review model outputs, and explain technical reasoning so AI systems can produce more accurate and useful results.

In this role, your expertise in Atomic Layer Deposition, thin films, and semiconductor processing will help shape models working with complex scientific and engineering information.

• Work directly with cutting-edge AI development
• Apply specialized scientific knowledge to model training
• Help improve the accuracy of AI-generated technical reasoning

The Atomic Layer Deposition AI Training Expert Role

OpenTrain AI is hiring an Atomic Layer Deposition (ALD) Expert to support a frontier AI research effort focused on semiconductors and the physical sciences. You will use deep knowledge of ALD, thin-film processes, precursor chemistry, and semiconductor science to generate, structure, and evaluate scientific data.

The role is listed as entry level in the provided engagement details, but the requirements call for at least five years of hands-on ALD process development or troubleshooting experience and advanced subject-matter expertise.

• Pay: $84 USD per hour
• Engagement type: Contractor and part time
• Location: Remote, US-based
• Schedule: Long-term and ongoing
• Capacity: Up to 40 hours per week
• Languages: English

What You'll Do

You will contribute technical judgment across ALD process development, precursor chemistry, thin-film characterization, and semiconductor processing. Your work will turn complex scientific expertise into structured, reliable material that AI systems can learn from and be evaluated against.

• Build high-quality training and evaluation data using ALD and semiconductor expertise.
• Review AI-generated scientific reasoning and identify technical errors.
• Improve the accuracy and clarity of model-generated scientific responses.
• Design and solve challenging expert-level problems in ALD and semiconductor processing.
• Rate and rank model outputs against defined scientific criteria.
• Provide clear written reasoning for ratings and evaluations.
• Structure process parameters, recipes, and characterization results into model-ready data.
• Deliver reliable, high-quality work within defined timelines.

Required Qualifications

This opportunity requires practical ALD experience combined with strong scientific communication. Candidates should be able to explain technical reasoning precisely in written English and critically assess AI-generated content related to semiconductor processing.

• At least 5 years of hands-on experience developing, optimizing, or troubleshooting ALD processes.
• Deep knowledge of thin-film deposition for semiconductor or advanced-packaging applications.
• Strong understanding of precursor chemistry and surface reaction mechanisms.
• Experience with XRD, SEM, TEM, XPS, or ellipsometry.
• PhD or MS in materials science, chemistry, chemical engineering, or physics, or equivalent hands-on experience.
• Ability to review and critique AI-generated scientific reasoning in semiconductor processing.
• Strong written English skills for clear, structured technical evaluations.

Helpful Background

Familiarity with semiconductor device fabrication and process integration will be useful when evaluating technical scenarios, process decisions, and model responses.

• Semiconductor device fabrication knowledge
• Experience with process integration
• Background in advanced packaging applications

Schedule and Application Details

This is a remote, US-based contractor engagement with an ongoing project structure. The provided details indicate a 20+ hour weekly time requirement, while the schedule information also specifies a minimum of 10 hours and up to 40 hours per week. Apply through OpenTrain to present your ALD and semiconductor expertise for consideration.

• Remote work from the United States
• Long-term, ongoing engagement
• Listed time requirement: 20+ hours per week
• Schedule range also provided: 10 to 40 hours per week
• Hourly compensation: $84 USD
• Apply through OpenTrain AI