Structural Engineer - Computational Mechanics - AI Trainer

Job 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
• Able 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

Compensation

$70–$100/hour

Weekly Commitment

15–20 hours/week