Nuclear Physics Specialist - Fully Remote | Upto $100/hr

Status
Open
Remote policy
Remote
Employment type
Not stated
Salary
Not stated
Categories
Computational-Physics, Nuclear-Physics, Scientific-Computing, AI-Research, Particle-Physics, Nuclear-Physics-AI-Specialist, Freelance-Physics-Specialist, Freelance-Physics-Expert, Physics-Research-Specialist, Physics-Freelancer
Source
himalayas
First observed
2026-08-20 13:23 UTC
Last seen
2026-08-20 13:23 UTC
Source claims posted
2026-08-20 12:19 UTC
Consecutive misses
0 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 Particle & Nuclear Physics Expert

Type:Contract

Compensation:$70–$100/hour

Location:Remote

Commitment:15–20 hours/week

Role Responsibilities

Design graduate-level computational problems for AI to solve using real scientific software.

Develop problems requiring strategic planning and multi-step workflows in Particle & Nuclear Physics.

Test and refine problems against state-of-the-art AI models to achieve target difficulty.

Utilize scikit-hep and other HEP Python tools for data analysis and simulations.

Work independently to refine problem designs based on feedback.

Collaborate asynchronously with teams to improve AI model performance.

Qualifications

Must-Have

Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).

Proven proficiency with scientific software libraries, demonstrated through research publications or professional work.

Strong Python skills for writing problem setups and solution validators.

Ability to work in a Linux/terminal environment with remote compute sandboxes.

Available for 15–20 hours/week.

Preferred

Experience across multiple domains or tools.

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

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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.

Originally posted on Himalayas

Quality

Completeness: 50%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #211091 2026-08-20 13:23 UTC
    Published