Mercor

Statistician

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: Statistics Expert
Type: Contract
Compensation: $72–$80/hour
Location: Remote
Commitment: 20 hours/week

Role Responsibilities

  • Author technical tasks to evaluate AI model performance on statistics problems.
  • Review and annotate tasks involving statistical charts, regression output, and distribution plots.
  • Produce original problem sets grounded in diagnostic figures and apply structured quality checks.
  • Write reference solutions and articulate reasoning step-by-step in written form.
  • Work independently and asynchronously with a flexible schedule to improve AI model outputs .

Qualifications

Must-Have

  • PhD in Statistics or Biostatistics , or MS in Statistics with 3+ years applied research, data science, or teaching experience, or BS in Statistics or Math with 5+ years applied statistical analysis or data science experience.
  • Working fluency in at least two of: probability, inference, regression, Bayesian methods, experimental design.
  • Comfortable reading and interpreting statistical charts, regression output, distribution plots, and diagnostic figures.
  • Clear technical writing skills.

Compensation & Legal

  • Hourly contractor
  • Paid weekly via Stripe Connect

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:

    03 Mai 2026
  • Standort:

    Berlin

    Einsatzort:

    Los Angeles
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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