Atomic Layer Deposition (ALD) Experts

What You'll Do6

• Use your hands-on ALD expertise to design, structure, and generate scientific data that captures process development, precursor chemistry, and thin-film characterization.
• Assess AI-generated scientific explanations for accuracy, identify subtle errors, and suggest improvements to the model's technical reasoning.
• Create and solve expert-level problems in ALD and semiconductor processing that challenge the model and reveal gaps in its knowledge.
• Score and rank model outputs against clear scientific criteria, documenting your rationale in precise written English.
• Convert technical knowledge — process parameters, recipes, and characterization results — into clean, well-organized data that models can learn from.
• Consistently deliver high-quality work within set deadlines while managing an ongoing workload of up to 40 hours per week.

Requirements6

• Proven, hands-on experience developing, fine-tuning, or debugging ALD processes.
• Deep familiarity with thin-film deposition methods used in semiconductor manufacturing or advanced packaging.
• Solid understanding of precursor chemistry and surface reaction mechanisms.
• Experience with materials characterization tools such as XRD, SEM, TEM, XPS, or ellipsometry.
• A PhD or master's degree in materials science, chemistry, chemical engineering, or physics — or equivalent hands-on experience.
• Excellent written English and the ability to articulate technical reasoning clearly and precisely.

Who Should Apply

You're the right fit if you've spent years in the trenches of ALD and thin-film R&D, and you can speak fluently about everything from process recipes to precursor chemistry. You enjoy knowledge work at the frontier of AI, and you can critique a model's scientific reasoning as easily as you'd review a colleague's. You're reliable, detail-obsessed, and comfortable working remotely on a flexible but ongoing schedule.

Salary Insight