Material Science PhD Coding Experts
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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
What they're looking for
- 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
Nice to have
- Publications in peer-reviewed journals
- Prior scientific software or research engineering experience
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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
Requirements
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
- Upload your resume and application form
- A 25-minute conversational interview covering your background, experience, and motivations
- 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.
Company
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