AI-Driven Civil Engineering Intern: Roads & GIS

Globik AI; United States; À distance; USD 2 100 - 3 100; Plein temps

Avantages offerts par ce poste

Internship Completion Certificate

Letter of Recommendation (LOR)

Résumé du poste

RoadVision AI is offering a 6-month, full-time Civil Engineering internship focused on integrating AI with road infrastructure projects. The role covers road condition assessment, pavement evaluation, GIS asset mapping, and data analysis, with mentorship and exposure to AI-driven road solutions.

Ideal candidates are pursuing or have completed a Civil Engineering degree, possess strong analytical skills, and can operate in-office with their own laptop.

Qualifications

• Pursuing or recently completed B.E./B.Tech in Civil Engineering.
• Interest in Roads Highways Transportation Pavement Engineering or Infrastructure.
• Basic knowledge of MS Excel; AutoCAD/GIS is a plus.
• Strong analytical and communication skills.
• Available for a full-time in-office internship.
• Must bring your own laptop.

Responsabilités

• Assist in road condition assessment and pavement evaluation projects.
• Analyze road survey data, imagery, and infrastructure assets.
• Validate AI-generated road condition outputs using engineering principles.
• Support road inventory, asset mapping, and GIS activities.
• Prepare technical reports, presentations, and project documentation.
• Research road engineering standards, pavement management, and road safety practices.
• Coordinate data collection, quality assurance, and field survey activities.
• Collaborate with engineering and product teams to enhance AI-driven road assessment solutions.

Connaissances

Civil Eng basics

Data analysis

MS Excel

Formation

B.E./B.Tech in Civil Engineering

Outils

AutoCAD

GIS

Description du poste

RoadVision AI is offering a 6-month, full-time Civil Engineering internship focused on integrating AI with road infrastructure projects. The role covers road condition assessment, pavement evaluation, GIS asset mapping, and data analysis, with mentorship and exposure to AI-driven road solutions.

Ideal candidates are pursuing or have completed a Civil Engineering degree, possess strong analytical skills, and can operate in-office with their own laptop.