Material Science PhD Coding Experts

Weekday AI· AI Training
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🌍 Remote📍 Remote📍 United StatesContract💰 USD 70+

About this role

This role is for one of our clients

Compensation: $70 per hour

We are hiring PhD and Master's scientists to author AI evaluation tasks (Sci Code)

Mercor is partnering with leading AI labs on a new benchmark for scientific computing. You will author original, executable research problems that today's frontier models cannot solve.

Domains — depth required in at least two subdomains (with a coding focus)

  • Materials science — semiconductor materials, molecular modeling

What you'll do

  • Source your own material: a published paper, a Kaggle dataset, an open-source repository, or a scenario you design
  • Write scientific prompts based on the input
  • Build the grading criteria that define a correct answer
  • Calibrate against frontier models — a task ships only when strong models fail it more often than they succeed

Required

  • PhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field
  • Demonstrated depth in both of the following subdomains: semiconductor materials and molecular modeling
  • Working proficiency in Python, R, or another relevant programming language for scientific computing
  • Comfortable with Git/GitHub and running code in Docker — authoring runs through a pull-request workflow with automated quality checks

Preferred

  • Publications in peer-reviewed journals
  • Prior scientific software or research engineering experience

Engagement

  • Duration: 6 weeks
  • Commitment: part-time, 20+ hours per week
  • Start date: immediate

Process

  1. Upload your resume and application form
  2. A 25-minute conversational interview covering your background, experience, and motivations
  3. Follow up within a few days with next steps and onboarding

Apply today and put your research expertise to work building the next generation of scientific AI.

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 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.

Frequently Asked Questions

What is the salary for the Material Science PhD Coding Experts role at Weekday AI?
The listed salary for this Material Science PhD Coding Experts position at Weekday AI is USD 70+. This is a remote Contract role.
Is the Material Science PhD Coding Experts job at Weekday AI remote?
Yes, this Material Science PhD Coding Experts position at Weekday AI is remote, with team members based in Remote, United States. You can work from home or anywhere in the supported regions.
Is the Material Science PhD Coding Experts role at Weekday AI full-time or part-time?
This is listed as a Contract position. It is posted as a Material Science PhD Coding Experts role in the AI Training department at Weekday AI.
Which team or department does the Material Science PhD Coding Experts at Weekday AI belong to?
This Material Science PhD Coding Experts position is part of the AI Training department at Weekday AI. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Material Science PhD Coding Experts position at Weekday AI?
Click the "Apply Now" button on this page. You will be redirected to Weekday AI's official application portal hosted on workable where you can submit your application directly.
When was the Material Science PhD Coding Experts job at Weekday AI posted?
This Material Science PhD Coding Experts position at Weekday AI was posted on Sep 14, 2026. Apply as soon as possible — early applications are often reviewed first.
Material Science PhD Coding Experts
Weekday AI · 💰 USD 70+
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