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Computational Statistics Expert - PhD - AI Trainer

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Remote

Computational Statistics Expert - PhD - AI Trainer

Mercor

Computational Statistics Expert - PhD - AI Trainer

Skills

PythonMATLABRAILinux

2 months ago

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Important information


Contract type:

Part time

Location:

Los Angeles, CA, USA

Work mode:

Remote

Published on:

15 August 2026

What they need


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 Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)

Type: Contract Compensation: $70–$90/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities

  • Design challenging computational problems using specialized statistical, mathematical, or scientific software packages.
  • Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
  • Develop problems requiring strategic planning for information discovery and efficient problem-solving.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Work independently and asynchronously to refine problem designs based on feedback.

Qualifications Must-Have

  • Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
  • Proven proficiency with at least one specialized software package through research publications or professional work.
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple computational domains or specialized software packages.
  • 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

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

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