Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)
Lifted, an Upwork Company™ · Remote · Greece, New Zealand, Philippines +1 only
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First recorded by Psst: 3 November 2026. Sign in with Google to continue to the employer. A free account is enough.
The 20-second read
- Experience
- Senior
- Where you can live
- Greece, New Zealand, Philippines +1 only
- Languages
- English
- Skills and tools
- machine learning, onboarding, documentation, compliance
- Degree or licence
- Mentioned (bachelor's)
- Job type
- Contract or freelance
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Job details
- Where you can work
- Greece, New Zealand, Philippines, Egypt
- Employment type
- Contract
- Advertised pay
- $80–110/hr
- Experience
- Senior
- Employer publication date
- 22 July 2026
- First recorded by Psst
- 3 November 2026
- Last checked at the source
- 4 November 2026
About the job
Experience level: not applicable.
This opportunity is ideal for experienced Structural Engineers who enjoy solving complex engineering problems and want to apply their expertise to cutting-edge AI technology.
What You'll Do
- Design realistic AI training tasks based on structural engineering concepts and real-world design challenges.
- Create clear engineering problem statements covering structural analysis, design, simulation, and code compliance.
- Develop reference solutions and deterministic scoring criteria to evaluate AI-generated responses.
- Build engineering tasks using OpenSees and other structural engineering methodologies.
- Create evaluation scenarios involving topics such as:
- Pushover analysis
- Seismic design
- Finite Element Analysis (FEA)
- Reinforced concrete design
- Steel connection detailing
- Structural retrofit
- Review AI-generated engineering solutions for technical accuracy, engineering judgment, and compliance with applicable design codes.
- Provide structured feedback that helps improve AI performance in structural engineering.
- Work independently in a fully remote, flexible environment.
Requirements
- Bachelor's degree in Civil Engineering, Structural Engineering, or a closely related field (Master's or PhD is a plus).
- Professional experience in structural analysis and structural design.
- Hands-on experience using OpenSees .
- Strong understanding of structural design standards such as ACI 318 , AISC 360 , or Eurocode (EN 1992, EN 1993, EN 1998) .
- Experience with structural engineering concepts including nonlinear modeling, response spectrum analysis, pushover analysis, or performance-based design.
- Ability to write clear, detailed, and technically accurate engineering documentation.
- Strong analytical thinking and attention to detail.
- Excellent written English communication skills.
- Ability to work independently and manage your own schedule.
Nice to Haves
- Master's degree or PhD in Structural Engineering or a related discipline.
- Experience with advanced seismic engineering or structural retrofit projects.
- Experience with finite element modeling and structural simulation.
- Previous experience reviewing technical work, conducting research, or developing engineering assessments.
- Interest or experience in AI, machine learning, or engineering model evaluation.
- Fully remote, project-based opportunity.
- Flexible schedule — work whenever it fits your availability.
- Compensation ranges from $80–110 USD per hour , depending on experience.
- Expected workload is 10–39 hours per week , though project volume may fluctuate.
- Payments are issued weekly for work completed during the previous week.
- If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform.
An enterprise client is seeking experienced Structural Engineers to help train and evaluate next-generation AI systems. This opportunity is part of a large-scale initiative focused on improving how AI models solve complex structural engineering problems and generate technically accurate engineering solutions.
You will work alongside a community of subject matter experts contributing real-world engineering knowledge to help shape the future of Generative AI.
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