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Verified partner opportunity

Material Science PhD Coding Experts

$70 / hour

MercorRemote - location not specifiedHourly contract

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

Is this a fit?

  • You can show recent, specific work involving AI evaluation, Physics, Python.
  • The listed commitment of 40 hours/week fits your schedule.
  • You can communicate your reasoning clearly in the application language.

Apply on Mercor

Complete your application with Mercor. No HumanitApp account or fee.

What happens next

  1. Continue to the official listing and enter your application details; have your resume ready.
  2. Complete the role-specific screen or assessment requested by the partner.
  3. Confirm availability, location eligibility and work authorization if requested. The partner determines the exact process.

Last verified 2026-09-04

Exact listing verified. HumanitApp is independent from Mercor and may receive a referral fee; the partner controls assessment and hiring.

Read our Mercor review
Ready to continue?Material Science PhD Coding Experts

Official role description

Mercor is 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.

Relevant skills

AI evaluationPhysicsPythonResearch

Who this role may fit

This opportunity may suit professionals with relevant experience in AI evaluation, Physics, Python, Research. Review the official description and requirements before applying.

Compensation context

The listing states $70 / hour. Confirm the final rate, workload, and payment terms during the official application process.

Qualification checklist

  • You can show recent, specific work involving AI evaluation, Physics, Python.
  • The listed commitment of 40 hours/week fits your schedule.
  • You can communicate your reasoning clearly in the application language.
  • You are comfortable with project availability and hours varying over time.

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Before you apply

Referral and application questions

How should I compare the listed pay?

The listing states $70 / hour. Confirm the final rate, workload, and payment terms during the official application process.

Does Apply use a referral link?

Yes. The button opens the exact verified Mercorlisting using the referral URL published for this role.

Is HumanitApp the employer?

No. HumanitApp independently curates the opportunity. The partner platform manages applications and hiring decisions.

Must I share my details here?

No. Choose the primary Apply action to continue directly without giving HumanitApp your name or email address.

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