Civil Engineer

Key Responsibilities

• Evaluate AI-generated responses for technical accuracy, logical soundness, completeness, and clarity across civil engineering topics.
• Challenge advanced language models with realistic civil engineering scenarios, calculations, design questions, and code-informed reasoning tasks.
• Review and refine AI-generated prompts, model responses, explanations, and step-by-step engineering solutions.
• Provide structured feedback that identifies factual errors, flawed assumptions, missing constraints, unsafe recommendations, or incomplete reasoning.
• Assess model performance on topics such as structural loads, soil behavior, slope stability, drainage design, pavement systems, reinforced concrete, steel design, and construction sequencing.
• Help shape AI communication standards for technical civil engineering content, including how models explain assumptions, limitations, calculations, and professional judgment.
• Ensure AI-generated content reflects sound engineering principles, appropriate safety considerations, and responsible technical communication.

Profile

• 4+ years of professional civil engineering experience, with significant hands-on work in infrastructure design, structural analysis, geotechnical engineering, transportation engineering, water resources, environmental engineering, construction management, or a closely related civil engineering specialty.
• Deep knowledge of civil engineering fundamentals, including statics, mechanics of materials, soil mechanics, hydraulics, materials behavior, load paths, construction methods, and infrastructure systems.
• Bachelor’s degree in Civil Engineering or a closely related engineering discipline required; Master’s degree, PhD, PE licensure, or equivalent advanced professional credentials strongly preferred.
• Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.