Structural Engineer AI Task Creator (OpenSees)

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps contributors discover specialized projects, build a professional AI-training profile, and grow their work in a fast-moving technology industry.

About AI Training Work

AI training is the human work behind modern artificial intelligence. Experts create examples, evaluate model responses, and provide precise feedback so AI systems can reason more accurately. In this role, your structural engineering expertise will directly shape how AI handles complex engineering problems.

• Work remotely with a flexible, asynchronous schedule
• Contribute to cutting-edge AI development through specialist expertise
• Use your engineering knowledge to assess technical accuracy and soundness

The Role

OpenTrain is seeking a Structural Engineer AI Task Creator to design, create, and evaluate AI-training tasks rooted in real-world structural engineering. You will develop small, well-defined challenges that test an AI model's ability to reason about structural behavior, perform analysis and design work, and follow established engineering standards.

This is a part-time contractor opportunity for contributors based in the United States who can work 20 or more hours per week. The role requires strong written English and proficiency with OpenSees.

• Employment type: Contractor and part time
• Location: United States
• Language: English
• Time commitment: 20+ hours per week
• Pay: $80–$110 per hour

What You'll Do

You will turn advanced structural engineering knowledge into clear, testable AI-training content. Each task should present an unambiguous engineering challenge and include the reference material needed to evaluate an AI-generated response.

• Design AI-training tasks based on structural analysis, design, simulation, and code compliance
• Write precise problem statements that test reasoning about structural behavior
• Develop deterministic scoring checkers and reference solutions for each task
• Create tasks involving pushover analysis, seismic design, FEA modeling, reinforced concrete design, steel connection detailing, and structural retrofit
• Evaluate AI-generated responses for technical accuracy, engineering soundness, and adherence to ACI 318, AISC, and Eurocode
• Provide structured expert feedback to improve AI performance in structural engineering
• Work independently and asynchronously on your own schedule

Required Qualifications

This role is listed at the entry level, but it requires substantial applied structural engineering capability. You must have at least a bachelor's degree in civil engineering, structural engineering, or a closely related field, along with practical experience using relevant analysis software and design codes.

• BS or higher in civil engineering, structural engineering, or a closely related field
• Proficiency with OpenSees for structural analysis
• Applied experience in structural analysis and design
• Familiarity with ACI 318, AISC 360, or Eurocode, including EN 1992, EN 1993, or EN 1998
• Comfort with pushover analysis, response spectrum analysis, nonlinear modeling, or performance-based design
• Ability to write clear, precise engineering problem statements and scoring criteria
• Detail-oriented, methodical, and self-motivated approach to independent work
• Strong written communication skills in English

Helpful Background

The following experience can strengthen your application and help you contribute to a broader range of structural engineering tasks.

• Finite element analysis experience beyond commercial software, including OpenSees Tcl or Python scripting
• Experience in seismic assessment, retrofit design, or performance-based earthquake engineering
• Familiarity with reinforcement learning, AI-training workflows, or prompt engineering
• Published research or professional project work in structural or earthquake engineering
• PE, SE, or Chartered Engineer registration
• Experience mentoring, teaching, or creating educational engineering content
• MS or PhD in a relevant field