Structural Engineer - Computational Mechanics - AI Trainer

Job Description

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: STEM Computational Scientific Software & Evaluation Design - Structural & Mechanical Engineering
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

• Design graduate-level computational problems using domain-specific scientific software libraries .
• Develop problems requiring strategic reasoning to uncover hidden information through queries or experiments.
• Calibrate tasks against state-of-the-art AI models and refine designs to achieve target difficulty.
• Utilize scikit-fem or similar finite element libraries for tasks in Structural & Mechanical Engineering .
• Work independently in a Linux/terminal environment with remote compute sandboxes .
• Collaborate asynchronously to improve AI model performance and problem-solving strategies.

Qualifications

Must-Have

• 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 .

Preferred

• Experience across multiple listed domains or tools.
• Familiarity with benchmark or evaluation design.
• Background in scientific pedagogy or exam/problem-set design.
• Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.