Remote Astrophysics & Cosmology AI Problem Designer

Mercor; Lacaussade; Sur place; EUR 83 000 - 119 000; Plein temps

Résumé du poste

Mercor is seeking an Astrophysics & Cosmology Expert for a remote contract role. The position demands rigorous scientific problem design and strong Python-based workflows to test AI systems against real cosmology problems.

You'll work 15–20 hours per week, contributing to reproducible computational tasks using Astropy and related tools, and collaborate asynchronously with a distributed team to refine tasks and benchmarks for AI models.

Qualifications

• Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
• Proven proficiency with scientific software libraries through research publications or professional work.
• Strong Python skills for writing problem setups and solution validators.
• Comfortable in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week.

Responsabilités

• Design challenging computational problems to test AI systems using real scientific software.
• Develop problems requiring strategic planning and multi-step workflows for AI to uncover hidden data.
• Refine problems through iterative testing against state-of-the-art AI models.
• Utilize astropy and related tools for cosmological calculations and data analysis.
• Work independently to enhance problem designs based on feedback.
• Collaborate asynchronously with teams to ensure problem difficulty is optimal.

Connaissances

Strong Python

Formation

MS / PhD in a relevant STEM field

Outils

Astropy

Linux

Remote compute sandboxes

Description du poste

Mercor is seeking an Astrophysics & Cosmology Expert for a remote contract role. The position demands rigorous scientific problem design and strong Python-based workflows to test AI systems against real cosmology problems.

You'll work 15–20 hours per week, contributing to reproducible computational tasks using Astropy and related tools, and collaborate asynchronously with a distributed team to refine tasks and benchmarks for AI models.