Atomic Layer Deposition Scientist for AI Model Training

Apply deep, hands-on expertise in atomic layer deposition and thin-film processes to generate, structure, and evaluate scientific data that trains and benchmarks advanced AI models for semiconductor and physical-science applications. Your technical judgments will directly influence how models reason about deposition, materials, and semiconductor processing.

• Provide domain expertise in ALD process development, precursor chemistry, and thin-film characterization to create high-quality training and evaluation data.
• Review and evaluate AI-generated scientific reasoning, identify errors, and improve technical accuracy.
• Define and solve expert-level problems in ALD and semiconductor processing.
• Rate and rank model outputs against defined scientific criteria, documenting clear written reasoning for assessments.
• Structure technical knowledge, including process parameters, recipes, and characterization results, into organized, model-ready data formats.
• Deliver consistent, high-quality work within specified timelines.

• 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 materials characterization techniques such as XRD, SEM, TEM, XPS, ellipsometry, or similar methods.
• Advanced degree, PhD or 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.

• Engagement type, long-term ongoing engagement.
• Hourly engagement, up to 40 hours per week, with a minimum commitment of 10 hours per week.
• Work arrangement, remote, candidates must be based in the United States.

Hourly rate: $84.00 per hour.

Must be located in the United States and able to work remotely. This is an hourly, contract-style engagement; applicants should be prepared to commit to at least 10 hours per week and up to 40 hours per week as agreed.