Atomic Layer Deposition (ALD) Experts

Mercor; India; Remote; INR 8,964,000 - 12,767,000; Part time

Job summary

Mercor is seeking an Atomic Layer Deposition (ALD) expert to contribute domain expertise across ALD process development, precursor chemistry, and thin-film characterization for training and evaluation data. This remote, US‑based hourly contract offers weekly payments and collaboration with leading AI research teams.

You will review AI-generated reasoning for accuracy, design challenging ALD problems, and structure technical knowledge into model-ready data.

Qualifications

• Hands-on experience developing, optimizing, or troubleshooting ALD processes.
• Deep knowledge of thin-film deposition for semiconductor or advanced-packaging applications.
• Strong grasp of precursor chemistry and surface reaction mechanisms.
• Experience with materials characterization (XRD, SEM, TEM, XPS, ellipsometry, etc.).
• Advanced degree (PhD/MS) in materials science, chemistry, chemical engineering, or physics.
• Clear written English and ability to explain technical reasoning precisely.

Responsibilities

• Contribute domain expertise across ALD process development and thin-film data.
• Review AI-generated reasoning for accuracy and improve technical content.
• Design and solve expert-level ALD problems for semiconductor processing.
• Rate model outputs against defined scientific criteria with written reasoning.
• Structure technical knowledge into organized, model-ready data for training.

Skills

ALD process development

Thin-film deposition knowledge

Precursor chemistry

Materials characterization

Technical writing

Education

Advanced degree (PhD/MS) in materials science or related field

Tools

XRD

SEM

TEM

XPS

Ellipsometry

Job description

Atomic Layer Deposition (ALD) Experts

Company: Mercor
Compensation: $84 per hour
Commitment: Hourly contract
Location: Remote
Location requirements: United States

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)

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.