Remote job
Remote confirmedNuclear Physics Specialist - Fully Remote | Upto $100/hr
mercor
Our assessment
- Our reading of the full posting text confirms it: fully remote.
- 25 more open roles from this employer in our index. 25 of them fully remote.
This section only: calculated automatically by nomado24, from our own job index and our own reading of the posting text. Not stated by the employer.
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 Particle & Nuclear Physics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week
Role Responsibilities
- Design challenging computational problems to evaluate AI capabilities in Particle & Nuclear Physics .
- Develop problems requiring the use of scikit-hep and related HEP Python tools for data analysis and computations.
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Work independently to improve problem designs based on feedback and testing results.
- Collaborate asynchronously to ensure problem relevance and complexity.
Qualifications
Must-Have
- Graduate-level training in a relevant STEM field ( MS, PhD , or equivalent research experience).
- Proven proficiency with at least one listed scientific software library through research publications, open-source contributions, or professional work.
- Strong Python skills for writing problem setups, oracle functions, and solution validators.
- Ability to work independently and refine problem designs based on feedback.
- Comfortable working in a Linux/terminal environment with remote compute sandboxes.
Preferred
- Experience across multiple listed 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
- AI interview based on your resume
- Submit form
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
This role is provided by an external source. Applications are handled on the source website.