高级结构工程师 (OpenSees | AI训练与评估)
Copy of Senior Structural Engineer (OpenSees | AI Training & Evaluation)
一家企业客户正在寻找有经验的结构工程师，协助培训和评估下一代人工智能系统。这项机会是大规模计划的一部分，旨在提升人工智能模型解决复杂结构工程问题以及生成技术准确工程解决方案的能力。
你将与一个专业领域专家社区合作，贡献实际的工程知识，以帮助塑造生成式AI的未来。
此职位非常适合有经验的结构工程师，他们喜欢解决复杂的工程问题，并希望将自己的专业知识应用于前沿的人工智能技术。
你将负责：
· 根据结构工程概念和现实中的设计挑战，设计真实的AI训练任务。
· 编写清晰的工程问题描述，涵盖结构分析、设计、模拟和代码合规性。
· 开发参考解决方案和确定性评分标准，以评估AI生成的响应。
· 使用OpenSees和其他结构工程方法构建工程任务。
· 创建涉及以下主题的评估场景：
· 推覆分析
· 地震设计
· 有限元分析（FEA）
· 钢筋混凝土设计
· 钢结构连接详图
· 结构加固
- 审核AI生成的工程解决方案，确保其技术准确性、工程判断力以及符合相关设计规范。
- 提供结构化反馈，以帮助提升AI在结构工程方面的表现。
- 在完全远程、灵活的工作环境中独立工作。
要求：
· 土木工程、结构工程或相关领域的学士学位（硕士或博士优先）。
· 具有结构分析和结构设计的专业经验。
· 熟练使用OpenSees。
· 对结构设计标准有深入了解，如ACI 318、AISC 360或Eurocode（EN 1992、EN 1993、EN 1998）。
· 具备结构工程概念方面的经验，包括非线性建模、反应谱分析、推覆分析或基于性能的设计。
· 能够撰写清晰、详细且技术准确的工程文档。
· 强大的分析思维能力和细致的关注力。
· 出色的英文书面沟通能力。
· 能够独立工作并管理自己的时间安排。
加分项：
· 结构工程或相关领域的硕士或博士学位。
· 具有高级地震工程或结构加固方面的经验。
查看英文原文
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.
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.