Atomic Layer Deposition AI Training Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the leading platform for building careers in AI training and data labeling, connecting experts with opportunities to help shape how advanced AI systems learn and reason.

• Free to create an OpenTrain account and build your AI training profile.
• Remote opportunities that let qualified contributors apply their professional expertise to cutting-edge AI development.

About AI Training for Physical Science

AI training is the human side of building artificial intelligence. Subject-matter experts create, structure, review, and evaluate examples so models can produce more accurate and technically reliable results.

In this role, your expertise in atomic layer deposition, thin-film processes, and semiconductor science will help models learn scientific reasoning, process knowledge, and evaluation standards used in advanced materials and semiconductor work.

• Review and rank model-generated scientific responses.
• Create challenging expert-level problems and structured technical data.
• Provide precise written feedback that improves model accuracy.

The Role

OpenTrain AI is hiring an Atomic Layer Deposition (ALD) Expert to support a frontier AI research lab developing models for semiconductors and the physical sciences. You will apply deep knowledge of ALD, thin-film deposition, precursor chemistry, and semiconductor processing to generate, organize, and evaluate scientific training data.

This is a long-term, ongoing contractor engagement for a US-based remote contributor. The listed rate is $84 per hour.

• Employment type: Contractor, part-time
• Location: Remote, US-based
• Expected time: 20+ hours per week
• Engagement capacity: Minimum 10 and up to 40 hours per week
• Pay: $84 USD per hour

What You'll Do

You will combine hands-on ALD experience with strong technical communication to assess whether AI-generated scientific content is accurate, useful, and logically sound. Work will involve both generating domain-specific material and evaluating model outputs against defined scientific criteria.

• Contribute expertise in ALD process development, precursor chemistry, and thin-film characterization.
• Review AI-generated scientific reasoning and identify technical errors or weaknesses.
• Design and solve challenging problems involving ALD and semiconductor processing.
• Rate and rank model outputs using defined scientific criteria.
• Explain evaluations with clear, structured written reasoning.
• Organize process parameters, recipes, and characterization results into model-ready data.
• Deliver reliable, high-quality work within defined timelines.

Required Qualifications

This role requires substantial practical and academic knowledge of ALD and semiconductor processes. The source requirements call for 5+ years of hands-on ALD process development or troubleshooting experience, along with an advanced degree or equivalent hands-on experience in a relevant scientific or engineering field.

• 5+ years of hands-on experience in ALD process development or troubleshooting.
• 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.
• Proven ability to review and critique AI-generated scientific reasoning in semiconductor processing.
• Strong written English and the ability to explain technical reasoning precisely.
• English language proficiency.

Helpful Background

Experience with semiconductor device fabrication and process integration is helpful for this engagement. The role is classified as entry level in the supplied job data, while the detailed requirements emphasize advanced ALD expertise and at least five years of hands-on experience.

• Familiarity with semiconductor device fabrication.
• Familiarity with semiconductor process integration.
• Background in advanced packaging is relevant to the thin-film work.

Why Join AI Training Work

AI training gives specialists a direct role in shaping how modern models understand technical subjects. Your ALD knowledge can help improve systems that support scientific analysis, semiconductor research, and physical-science problem solving.

The work is remote and part-time, making it possible to contribute to a fast-growing technology field while applying expertise developed through research or industry experience.

• Work remotely from the United States.
• Contribute to the development of advanced AI for semiconductors and physical sciences.
• Use specialized scientific knowledge in meaningful model-training and evaluation work.
• Choose a part-time schedule within the engagement's stated weekly limits.

How to Get Started

Create your free OpenTrain account, build a profile highlighting your ALD process experience and characterization background, and apply in minutes. Be ready to demonstrate precise written English, technical reasoning, and your ability to evaluate scientific content accurately.

• Highlight ALD development, optimization, and troubleshooting experience.
• List relevant education and thin-film characterization methods.
• Describe semiconductor fabrication or process-integration experience if applicable.
• Showcase your ability to critique technical reasoning clearly and rigorously.