Applied Mathematics Specialist - Fully Remote | Upto $90/hr

Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Computational-Statistics, Applied-Mathematics, AI-Research, Scientific-Computing, Quantitative-Analysis, AI-Mathematics-Specialist, Applied-Mathematics-Expert, Freelance-Mathematics-Specialist
Source
himalayas
First observed
2026-08-20 05:15 UTC
Last seen
2026-08-20 05:15 UTC
Source claims posted
2026-08-20 04:59 UTC
Consecutive misses
4 of 10

What the posting says

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)

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Resources & Support

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

Originally posted on Himalayas

Quality

Completeness: 65%
Honesty: 100%

Based on 5 observation(s).

Timeline

  1. *
    #202242 2026-08-20 05:15 UTC
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    #204803 2026-08-20 07:16 UTC
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    #207668 2026-08-20 09:21 UTC
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    #209454 2026-08-20 11:22 UTC
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