Structural Engineering Specialist - Fully Remote | Upto $85/hr

mercor; France; Remote; EUR 86,000 - 105,000; Full time

Job summary

Mercor seeks a Computational Structural & Mechanical Engineering Expert to design challenging computational problems and validate AI capabilities in scientific and engineering tasks. You will use open-source tools like FEniCSx, OpenFOAM, and deal.II, and collaborate with AI research teams to ensure robust problem designs tested against benchmarks.

The role requires a graduate STEM degree (MS/PhD) or equivalent research experience, strong Python skills, and comfort in Linux environments with

Qualifications

• Graduate-level training in a STEM field (MS/PhD) is required or-equivalent research experience.
• Proficiency with at least one listed scientific library through publications or open-source work.
• Strong Python skills for problem setup, oracle functions, and validators.
• Ability to work independently and refine designs based on feedback.
• Linux/terminal proficiency and comfort with remote compute sandboxes.

Responsibilities

• Design computational problems to test AI capabilities in solving scientific and engineering tasks.
• Develop problems requiring use of open-source computational tools.
• Evaluate AI models against benchmarks and refine problems for desired difficulty.
• Collaborate with AI research teams to improve problem designs and testing.
• Work independently and asynchronously to meet deadlines.

Skills

Python

Linux/Terminal

Independent worker

Research experience

Education

MS or PhD in a relevant STEM field

Tools

FEniCSx/DOLFINx

OpenFOAM

deal.II

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 Structural & Mechanical Engineering Expert

Type: Contract

Compensation: $70–$85/hour

Location: Remote

Commitment: 15–20 hours/week

Role Responsibilities

• 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.

Qualifications

Must-Have

• Graduate-level training in a relevant STEM field ( MS, PhD, or equivalent research experience ).
• Proven proficiency with at least one of the listed scientific software libraries 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.