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Structural Engineering AI Task Creator

Create rigorous AI training tasks based on structural analysis, seismic design, finite element simulation, and code-compliant detailing. Remote contract work offers 20+ hours per week at $80–$110 per hour.

OpenTrain AI

Generative AI & RLHF

100% Remote Hourly · $80–$110/hr

$80–$110/hr

Compensation

Worldwide

Eligibility

Entry

Experience

Aug 18, 2026

Posted

Open worldwide

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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. We help specialists apply their professional expertise to the development of advanced AI systems while building a durable portfolio of work.

This is a worldwide, remote contractor opportunity. OpenTrain gives freelancers one place to manage AI training opportunities, demonstrate credible experience, and grow their work in a fast-moving technical field.

  • Contractor and part-time engagement
  • Worldwide remote opportunity
  • 20+ hours per week
  • Pay range: $80–$110 USD per hour

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists create examples, evaluate model responses, and provide expert feedback so AI systems can reason more accurately and reliably.

In this role, your structural engineering judgment will help shape models that work with technical analysis, design, simulation, seismic assessment, and engineering standards.

  • Work directly on cutting-edge AI training tasks
  • Apply specialized engineering knowledge to model evaluation
  • Contribute remotely with a flexible contractor schedule

The Role

OpenTrain is recruiting a Structural Engineering AI Task Creator to turn practical engineering judgment into rigorous training tasks for AI systems. Each task should combine an unambiguous engineering problem, a deterministic checker for scoring model responses, and a trusted reference solution demonstrating how the problem should be solved.

The work spans structural analysis, seismic design, finite element simulation, code-compliant detailing, and retrofit design. This is an entry-level opportunity by experience classification, but it requires a bachelor's degree, applied structural engineering experience, and strong technical capabilities.

  • Subject area: Structural Engineering AI Evaluation
  • Data type: Text
  • Work includes text generation and evaluation/rating
  • English-language work

What You'll Do

You will create realistic, appropriately scoped engineering challenges using OpenSees and develop the materials needed to evaluate AI-generated solutions. Your work should test whether a model can reason correctly about structural behavior and produce technically sound responses.

You will also assess model outputs, document issues clearly, and provide structured expert feedback that improves performance in structural engineering.

  • Design AI training tasks based on real structural engineering problems
  • Write precise problem statements involving analysis, design, simulation, and code compliance
  • Develop deterministic scoring checkers and reliable reference solutions
  • Use OpenSees to create realistic engineering challenges
  • Build tasks involving pushover analysis and response spectrum analysis
  • Create challenges involving nonlinear modeling, reinforced concrete, and steel connections
  • Develop tasks related to structural retrofit and seismic design
  • Evaluate AI-generated responses for technical accuracy and engineering soundness
  • Check model responses against applicable standards
  • Provide structured feedback to improve AI model performance

Required Qualifications

Candidates must have a bachelor's degree in civil engineering, structural engineering, or a closely related discipline, along with applied experience in structural analysis and design. Proficiency with OpenSees and familiarity with relevant engineering standards are required.

You should be able to reason about seismic, nonlinear, pushover, or finite element problems and explain technical solutions clearly in written English. A methodical, self-directed working style and strong attention to detail are important for producing dependable training data.

  • Bachelor's degree in civil engineering, structural engineering, or a closely related field
  • Applied experience in structural analysis and design
  • Proficiency with OpenSees
  • Familiarity with Eurocode EN 1992, EN 1993, and EN 1998 and/or DIN standards
  • Ability to reason about seismic, nonlinear, pushover, or finite element problems
  • Strong written English and clear technical writing
  • Careful, precise, methodical, and self-directed approach

Helpful Background

The following experience is valuable but is not listed as required. It can help you create more realistic tasks, reference solutions, and technical evaluations across a wider range of structural engineering scenarios.

  • Finite element analysis beyond commercial software
  • OpenSees Tcl or Python scripting
  • Seismic assessment or retrofit design
  • Performance-based earthquake engineering
  • Engineering research
  • AI training workflows or prompt engineering
  • Mentoring or educational content creation
  • Chartered or licensed professional status

Why Work With OpenTrain

Every major AI system depends on work from people who prepare examples, review outputs, and bring real-world expertise to model development. OpenTrain helps you turn that contribution into a visible professional portfolio while connecting your structural engineering background with emerging AI work.

As a contractor, you can contribute to a rapidly growing industry through remote, part-time work that fits around your other commitments. Creating an OpenTrain account is free.

  • Apply your structural engineering expertise to advanced AI systems
  • Build credible experience in AI training and evaluation
  • Work remotely from anywhere worldwide
  • Develop a portfolio that supports long-term growth in the field

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Create a free OpenTrain account and apply for this role in minutes.

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