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Computational Statistics Expert PhD AI Trainer

Mercor

Job Location:

Los Angeles, CA - USA

Monthly Salary: Not provided by the employer

Posted: 14 August 2026 (12 hours ago)

Application Deadline: 11 November 2026

Vacancies: 1 Vacancy

Job Summary

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 DAngelo 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: 1520 hours/week

Role Responsibilities

Design challenging computational problems using specialized statistical mathematical or scientific software packages.
Evaluate AIs 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 1520 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 2030 mins to complete)