Mercor

STEM Computational Software Design Expert

Stellenbeschreibung:

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: STEM Computational Scientific Software & Evaluation Design
Type: Contract
Compensation: $45–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design computational problems using domain-specific scientific software libraries .
  • Evaluate AI models by testing problem-solving capabilities in scientific workflows .
  • Develop strategies for querying simulations and interpreting outputs.
  • Collaborate to refine problem designs through calibration with AI models .
  • Work independently and asynchronously to meet project goals.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience ).
  • Proficiency with at least one listed scientific software library .
  • Strong Python programming skills.
  • Ability to work in a Linux/terminal environment .
  • Available for 15–20 hours/week .

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy 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:
  • For any help or support, reach out to:

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

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Stelleninformationen

  • Veröffentlichungsdatum:

    19 Mai 2026
  • Standort:

    Berlin

    Einsatzort:

    Los Angeles
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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