AI Intern: Civil Engineering Automation & AI Tools

Oneatlas; Duluth, Northern (GA, KY); Hybrid; USD 25,000 - 39,000; Full time

Benefits offered by this job

Health & Wellness

Time Off & Family Support

401(k) with company match

Tuition reimbursement

Professional certifications

Flexible scheduling

Job summary

Atlas is seeking motivated AI Interns to support the development of innovative artificial intelligence tools that enhance how civil engineering and planning teams deliver projects. This role offers hands‑on experience applying AI, automation, and data analysis to real‑world transportation, infrastructure, and environmental challenges.

Success in this role will be demonstrated through the delivery of functional prototypes, efficiency‑improving tools, and thoughtful collaboration with technical

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related field.
• Ability to think analytically and solve problems independently.
• Strong written and verbal communication skills.

Responsibilities

• Assist in design and development of AI-driven tools to improve engineering workflows, data analysis, and reporting.
• Develop scripts, models, or workflows that automate repetitive or data-intensive tasks.
• Support internal teams by translating business and engineering needs into technical AI solutions.
• Conduct research and testing on emerging AI technologies relevant to civil engineering and project delivery.
• Document development processes, assumptions, and user guidance for internal tools.
• Collaborate with engineers, planners, and IT staff to iteratively refine tools based on feedback.

Skills

AI/ML fundamentals

Data analysis

Python

Git/GitHub

Team collaboration

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Python

Jupyter Notebooks

Git/GitHub

APIs

Low-code platforms

Job description

Atlas is seeking motivated AI Interns to support the development of innovative artificial intelligence tools that enhance how civil engineering and planning teams deliver projects. This role offers hands‑on experience applying AI, automation, and data analysis to real‑world transportation, infrastructure, and environmental challenges.

Success in this role will be demonstrated through the delivery of functional prototypes, efficiency‑improving tools, and thoughtful collaboration with technical