Remote Computational Structural Engineer for AI Training

Mercor; Detroit (MI); On-site; USD 96,432 - 137,760; Part time

Job summary

Mercor is seeking a STEM Computational Scientific Software & Evaluation Design expert in Structural & Mechanical Engineering. This role, which is remote, involves designing computational problems and requires graduate-level STEM training, strong Python skills, and proficiency with scientific software libraries.

The position is contract-based, offering competitive compensation of $70–$100/hour, with a commitment of 15–20 hours/week. Effective collaboration and independent problem-solving in a Linux environment are essential.

Qualifications

• Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
• Proficiency with at least one listed scientific software library.
• Strong Python programming skills.
• Ability to work independently and iterate on problem designs.
• Comfortable in a Linux/terminal environment.

Responsibilities

• Design graduate-level computational problems using domain-specific scientific software libraries.
• Develop problems requiring strategic reasoning to uncover hidden information.
• Calibrate tasks against AI models and refine designs.
• Utilize finite element libraries for Structural & Mechanical Engineering.
• Work independently in a Linux/terminal environment.
• Collaborate asynchronously to improve AI model performance.

Skills

Python programming

Scientific software libraries

Linux/terminal environment

Education

Graduate-level training in a relevant STEM domain (MS, PhD)

Tools

scikit-fem

Job description

Mercor is seeking a STEM Computational Scientific Software & Evaluation Design expert in Structural & Mechanical Engineering. This role, which is remote, involves designing computational problems and requires graduate-level STEM training, strong Python skills, and proficiency with scientific software libraries.

The position is contract-based, offering competitive compensation of $70–$100/hour, with a commitment of 15–20 hours/week. Effective collaboration and independent problem-solving in a Linux environment are essential.