Computational Statistics Expert - PhD - AI Trainer

$70 - $90 per hour

Mercor

Job Description Job Description

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)

Any additional information you require for this job can be found in the below text Make sure to read thoroughly, then apply.
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
Test and refine problems against state-of-the-art AI models to achieve target difficulty.
Collaborate with AI research teams to improve problem setups and solution validators.
Work independently in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
Strong Python skills.
Ability to work independently and refine problem designs based on feedback.
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)

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Resources & Support

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Vacancy posted 9 hours ago

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