Structural Engineer — AI Task Creator (Remote Contract)
Structural Engineer — AI Task Creator About The Role What if your expertise in structural analysis and seismic design could teach AI to think like an engineer? We're looking for structural and civil engineers based in the US to design, create, and evaluate AI training tasks rooted in real-world structural engineering challenges — from pushover analysis and retrofit design to code-compliant detailing and finite element simulation. You won't need to be an AI researcher. You'll bring the engineering judgment; we'll provide the framework. Each task you create is a small, well-defined engineering challenge with three parts: a clear problem statement for the AI model, a deterministic checker that scores the model's answer, and a trusted reference solution that proves the task is solvable. Your domain knowledge in tools like OpenSees, ETABS, and SAP2000 — and standards like ACI 318, AISC, and Eurocode — is exactly what's needed to push AI capability forward in structural engineering. This is a fully remote, flexible contract role for practicing or experienced structural engineers who want to work at the intersection of their discipline and cutting-edge AI.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design AI training tasks based on real structural engineering problems — spanning analysis, design, simulation, and code compliance
- Write clear, precise problem statements that test an AI model's ability to reason about structural behavior
- Develop deterministic scoring checkers and reference solutions for each task
- Draw on your experience with OpenSees to build realistic, well-scoped tasks
- Create tasks covering areas like 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 relevant standards (ACI 318, AISC, Eurocode)
- Provide structured, expert feedback that helps improve AI performance in the structural engineering domain
- Work independently and asynchronously — fully on your own schedule
Who You Are
- Degree in Civil Engineering, Structural Engineering, or a closely related field (BS required; MS or PhD is a plus)
- Applied experience in structural analysis and design — you've used the software and applied the codes in practice
- Proficient with OpenSees
- Familiar with design standards such as ACI 318, AISC 360, or Eurocode (EN 1992, EN 1993, EN 1998)
- Comfortable with concepts like pushover analysis, response spectrum analysis, nonlinear modeling, or performance-based design
- Able to formulate engineering problems clearly and write unambiguous problem statements
- Detail-oriented, methodical, and self-motivated when working independently
- Strong written communication skills in English
Nice to Have
- Experience with finite element analysis (FEA) beyond commercial software — e.g., scripting in OpenSees Tcl/Python
- Background 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
Why Join Us
- Work at the cutting edge of AI and structural engineering — a rare intersection with enormous potential
- Collaborate alongside leading AI research labs on projects that matter
- Fully remote and flexible — set your own hours and work from anywhere
- Freelance autonomy with the structure of meaningful, intellectually engaging work
- Your engineering expertise directly shapes how AI learns to reason about the built environment
- Potential for ongoing work and contract extension as new projects launch
- No AI or machine learning background required — your structural engineering knowledge is the expertise we need