Atomic Layer Deposition and Thin-Film Expert for AI Training

Apply advanced Atomic Layer Deposition and thin-film expertise to create, organize, and assess scientific data used to improve AI models for semiconductor and physical-science applications. Your technical judgment will help strengthen model reasoning about deposition, materials, and semiconductor processes. Key Responsibilities

• Contribute expertise in ALD process development, precursor chemistry, and thin-film characterization to produce high-quality training and evaluation data.
• Review AI-generated scientific reasoning, identify errors, and improve technical accuracy.
• Develop and solve complex problems involving ALD and semiconductor processing.
• Rate and rank model outputs against defined scientific criteria, documenting clear written rationale.
• Organize process parameters, recipes, and characterization results into structured, model-ready data.
• Deliver dependable, high-quality work within established 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 methods such as XRD, SEM, TEM, XPS, and ellipsometry.
• PhD, MS, or equivalent practical experience in materials science, chemistry, chemical engineering, or physics.
• Clear written English and the ability to communicate technical reasoning precisely.

• Long-term, ongoing hourly engagement.
• Remote work for candidates based in the United States.
• Commitment of 10 to 40 hours per week.

• $84 per hour.