Atomic Layer Deposition Process Development Expert for AI Training

SaidGig; New York (NY); Remote; USD 83,000 - 152,000; Part time

Job summary

SaidGig seeks a remote, long-term expert in Atomic Layer Deposition (ALD) and thin-film processes to help train AI models for semiconductor applications. You will organize process parameters, recipes, and characterization results into structured, model-ready data and provide precise technical reasoning.

The role requires hands-on ALD experience, strong materials knowledge, and clear written English to communicate complex concepts.

Qualifications

• 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, 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.

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.

Skills

ALD expertise

Data organization

Scientific communication

Education

PhD in materials science

MS in chemistry

Equivalent practical experience

Tools

XRD

SEM

TEM

XPS

Ellipsometry

Job description

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.

Qualifications

• 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.

Work Terms

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

Compensation

• $84 per hour.