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Astrophysics Expert - Computational Specialist

Mercor

Role overview

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent)
  • Proven proficiency with scientific software libraries through research or professional work
  • Strong Python skills for writing problem setups and solution validators
  • Ability to work in a Linux/terminal environment with remote compute sandboxes

Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in scientific software usage
  • Develop problems requiring strategic planning and experimentation to uncover hidden data insights
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty
  • Utilize Astrophysics and Cosmology expertise with tools like astropy for problem creation

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

Links

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Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Astrophysics & Cosmology Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to evaluate AI capabilities in scientific software usage.
  • Develop problems requiring strategic planning and experimentation to uncover hidden data insights.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Utilize Astrophysics & Cosmology expertise with tools like astropy for problem creation.
  • Work independently and asynchronously to refine problem designs based on feedback.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent).
  • Proven proficiency with scientific software libraries through research or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work in a Linux/terminal environment with remote compute sandboxes.
  • Available for 15–20 hours/week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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