Remote Computational Structural Engineer for AI Benchmarks

Mercor; Lacaussade; Sur place; EUR 83 000 - 101 000; Temps partiel

Résumé du poste

Mercor is seeking a Computational Structural & Mechanical Engineering Expert for a remote contract role (15–20 hours/week). You will design and test AI-driven computational problems using tools like FEniCSx, OpenFOAM, and deal.II, with strong Python proficiency.

Ideal candidates hold a Master’s or PhD in a STEM field and can work independently in a Linux environment, collaborating with AI teams to refine problem designs and benchmarks. Compensation is $70–$85 per hour.

Qualifications

• Graduate-level STEM training (MS, PhD, or equivalent).
• Proven proficiency with at least one listed scientific libraries via publications, open-source contributions, or professional work.
• Strong Python skills for writing problem setups, oracle functions, and validators.
• Ability to work independently and refine problem designs based on feedback.
• Comfortable working in a Linux/terminal environment with remote compute sandboxes.

Responsabilités

• Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
• Develop problems requiring skilled use of open-source, domain-specific computational tools like FEniCSx/DOLFINx, OpenFOAM, deal.II, and others.
• Evaluate AI models by testing them against state-of-the-art benchmarks and refine problems to achieve the desired difficulty.
• Collaborate with AI research teams to improve problem designs and ensure they test strategic reasoning and problem-solving.
• Work independently and asynchronously to meet deadlines and refine problem designs based on feedback.

Connaissances

Graduate-level STEM training

Independent work

Problem design

Remote collaboration

Formation

Master's or PhD in STEM

Outils

Python

Linux

FEniCSx/DOLFINx

OpenFOAM

deal.II

Description du poste

Mercor is seeking a Computational Structural & Mechanical Engineering Expert for a remote contract role (15–20 hours/week). You will design and test AI-driven computational problems using tools like FEniCSx, OpenFOAM, and deal.II, with strong Python proficiency.

Ideal candidates hold a Master’s or PhD in a STEM field and can work independently in a Linux environment, collaborating with AI teams to refine problem designs and benchmarks. Compensation is $70–$85 per hour.