Mercor

Geography PhD - GIS Specialist

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: Geography Expert
Type: Contract
Compensation: $65–$73/hour
Location: Remote
Commitment: 20 hours/week

Role Responsibilities

  • Author technical tasks to evaluate AI model performance in geography and earth sciences .
  • Review and annotate problem sets using maps, satellite imagery, GIS output , and topographic figures.
  • Produce original problem sets and write reference solutions with structured quality checks.
  • Collaborate with AI research teams to improve model outputs and training data quality.
  • Work independently and asynchronously to meet deadlines and enhance AI model performance .

Qualifications

Must-Have

  • PhD in Geography , Earth Sciences , or GIS ; or MS with 3+ years applied research, cartography, or GIS experience; or BA/BS with 5+ years applied GIS , cartography, or field experience.
  • Working fluency in at least two of: physical geography, human geography, GIS , remote sensing, cartography.
  • Comfortable with maps, satellite imagery, GIS output , and topographic figures.
  • Clear technical writing; articulate reasoning step-by-step in written form.

Compensation & Legal

  • Hourly contractor
  • Paid weekly

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:

    02 Mai 2026
  • Standort:

    Berlin

    Einsatzort:

    Los Angeles
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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