We are seeking a skilled civil engineer who excels in technical accuracy, practical problem-solving, and infrastructure-related reasoning to join a pioneering role that influences how advanced AI systems comprehend and articulate complex engineering concepts. This position offers a unique chance to leverage your civil engineering expertise to evaluate, challenge, and enhance sophisticated language models focused on domain-specific civil engineering topics. Your contributions will directly improve leading AI models and help shape the future of AI in the engineering field.
This opportunity is with SME Careers, a rapidly expanding AI Data Services company and a subsidiary of SuperAnnotate. The company specializes in delivering high-quality training data to some of the world’s largest AI organizations and foundation-model research labs.
Key Responsibilities
- Evaluate AI-generated responses for technical accuracy, logical consistency, completeness, and clarity across a wide range of civil engineering subjects.
- Challenge advanced language models using realistic civil engineering scenarios, including calculations, design problems, and code-based reasoning tasks.
- Review and refine AI-generated prompts, responses, explanations, and step-by-step engineering solutions to ensure precision and relevance.
- Provide detailed, structured feedback identifying factual inaccuracies, flawed assumptions, missing constraints, unsafe recommendations, or incomplete reasoning.
- Assess model performance on critical topics such as structural loads, soil behavior, slope stability, drainage design, pavement systems, reinforced concrete, steel design, and construction sequencing.
- Contribute to the development of AI communication standards for technical civil engineering content, focusing on how models present assumptions, limitations, calculations, and professional judgment.
- Ensure that AI-generated content adheres to sound engineering principles, incorporates appropriate safety considerations, and maintains responsible technical communication.
Required Qualifications
- A minimum of 4 years of professional experience in civil engineering, with substantial hands-on involvement in infrastructure design, structural analysis, geotechnical engineering, transportation engineering, water resources, environmental engineering, construction management, or a closely related specialty.
- Strong foundational knowledge of civil engineering principles, including statics, mechanics of materials, soil mechanics, hydraulics, material behavior, load paths, construction methods, and infrastructure systems.
- Bachelor’s degree in Civil Engineering or a closely related engineering discipline is required.
Preferred Qualifications and Benefits
- Advanced degrees such as a Master’s or PhD, Professional Engineer (PE) licensure, or equivalent advanced professional credentials are highly desirable.
- Prior experience working with AI data training, annotation, or evaluating AI-generated technical content is a significant advantage.
This role offers the chance to work at the intersection of civil engineering and cutting-edge AI technology, contributing to innovations that will define the future of both fields. If you are passionate about applying your engineering expertise to advance AI capabilities, this position provides a meaningful platform to make a lasting impact.