Remote Civil Engineer – PE Review & AI Content Expert

Weekday AI; United States; Remote; USD 90,000 - 124,000; Part time

Job summary

Weekday AI is building a select group of experienced civil engineers to review AI-generated content and provide expert feedback. This remote, part-time contractor role requires 10 hours per week and offers hourly compensation in USD.

You'll apply your PE license and civil engineering experience across structures, geotechnical, or transportation topics, reviewing technical accuracy and recommending standards and references to improve AI systems.

Qualifications

• Bachelor's or Master's degree in Civil Engineering.
• Active Professional Engineer (PE) license in the United States.
• 2+ years of professional civil engineering experience across multiple disciplines.

Responsibilities

• Review and evaluate AI-generated content related to civil engineering for technical accuracy, completeness, and engineering soundness.
• Provide clear, well-supported answers and expert feedback based on your professional engineering experience.
• Recommend authoritative references, engineering standards, and technical resources relevant to your area of expertise.
• Share insights into real-world civil engineering workflows, project execution, design processes, documentation, and industry best practices.
• Collaborate with multidisciplinary subject matter experts to improve AI model quality and consistency.
• Identify technical inaccuracies, ambiguous guidance, and opportunities to improve AI-generated engineering responses.

Skills

Civil engineering

PE license

English communication

Education

Bachelor's or Master's degree in Civil Engineering

Tools

AutoCAD Civil 3D

STAAD

Revit

Bentley applications

Job description

Weekday AI is building a select group of experienced civil engineers to review AI-generated content and provide expert feedback. This remote, part-time contractor role requires 10 hours per week and offers hourly compensation in USD.

You'll apply your PE license and civil engineering experience across structures, geotechnical, or transportation topics, reviewing technical accuracy and recommending standards and references to improve AI systems.