Land a Remote Job
Mercor · Remote job

Atomic Layer Deposition (ALD) Experts

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on Mercor when you’re readyApply on Mercor →

You apply directly on Mercor's site. Applying is free. Posted Aug 1, 2026.

Get alerts for new jobs onTelegram
STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

Mercor screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Annotator. It covers:

Instruction FollowingAttention to DetailLogical Reasoning

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

Apply on Mercor →

The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our guide to acing the remote job interview.

STEP 2 · APPLY

Apply for this role

You apply on Mercor's own site. It’s free, and you can apply even if you skip the practice.

Apply on Mercor →

Who this role suits

Researchers and PhD holders who want to use their subject expertise on remote, flexible projects.

Full job description

Mercor is seeking experts in Atomic Layer Deposition (ALD) and thin-film processes to support a frontier AI research lab building models for semiconductors and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about deposition, materials, and semiconductor processes.

Key Responsibilities:

  • Contribute domain expertise across ALD process development, precursor chemistry, and thin-film characterization to build high-quality training and evaluation data.
  • Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy.
  • Design and solve challenging, expert-level problems in ALD and semiconductor processing.
  • Rate and rank model outputs against defined scientific criteria, with clear written reasoning.
  • Structure technical knowledge — process parameters, recipes, characterization results — into well-organized, model-ready data.
  • Deliver reliable, high-quality work within defined timelines.

You're a strong fit if you have:

  • Hands-on experience developing, optimizing, or troubleshooting ALD processes.
  • Deep knowledge of thin-film deposition for semiconductor or advanced-packaging applications.
  • A strong grasp of precursor chemistry and surface reaction mechanisms.
  • Experience with materials characterization (XRD, SEM, TEM, XPS, ellipsometry, etc.).
  • An advanced degree (PhD/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.

Role Details:

  • Type: Long-term, ongoing engagement
  • Engagement: Up to 40 hours/week (minimum 10)
  • Work arrangement: Remote (US-based)

Last checked open on Oct 28, 2026. Job description provided by Mercor.

Something not working? Tell us

If the practice interview or the apply link doesn’t open, or the job looks closed, let us know and we’ll fix it.

← Browse all remote jobs