Cosmology Researcher - Fully Remote | Upto $100/hr

mercor; France; Teletrabalho; EUR 86 000 - 123 000; Tempo parcial

Resumo da oferta

Mercor seeks a Computational Astrophysics & Cosmology Expert for a remote contract, offering 15–20 hours per week. You will craft rigorous problems to probe AI capabilities in scientific software and design experiments for data insights.

Ideal candidates have graduate STEM training and strong Python skills, with experience in astrophysics, astropy, and Linux environments. Collaboration is asynchronous and project-driven.

Qualificações

• Graduate-level training in a relevant STEM field (MS, PhD or equivalent).
• Proven proficiency with scientific software libraries through research 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.

Responsabilidades

• Design challenging computational problems to evaluate AI capabilities in scientific software usage.
• Develop problems requiring strategic planning and experimentation to uncover hidden data insights.
• Test and refine problems against state-of-the-art AI models to achieve target difficulty.
• Utilize Astrophysics & Cosmology expertise with tools like astropy for problem creation.
• Work independently and asynchronously to refine problem designs based on feedback.

Conhecimentos

Python

Astrophysics

Remote work

Asynchronous work

Formação académica

MS, PhD or equivalent in STEM

Ferramentas

astropy

Linux

Descrição da oferta de emprego

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 Astrophysics & Cosmology 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 scientific software usage.


• Develop problems requiring strategic planning and experimentation to uncover hidden data insights.


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


• Utilize Astrophysics & Cosmology expertise with tools like astropy for problem creation.


• Work independently and asynchronously to refine problem designs based on feedback.

Qualifications Must-Have

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


• Proven proficiency with scientific software libraries through research 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.