AI & Computer Vision Intern

Thornton Tomasetti • New York, NY

2d • $1 - $400

About The Position

Thornton Tomasetti applies engineering and scientific principles to solve the world’s challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career. Our Forensics team works on a wide range of projects involving the built environment, using engineering analysis, data, and technology to help clients understand conditions, evaluate performance, and make informed decisions. As we expand our use of AI and computer vision, we are developing and maintaining datasets and tools that help analyze images and 3D data from structures, and this role will directly support those efforts. The Role: We have an opportunity for an AI & Computer Vision Intern for our Forensics Practice.

Requirements

• Computer vision and AI: basic understanding of common model types (e.g., CNNs, U‑Net, Faster R‑CNN, YOLO) and tasks (classification, detection, segmentation).
• Programming and data tools: Python and/or MATLAB for simple data manipulation, visualization, and experiment tracking.
• Point cloud software: CloudCompare or other point cloud viewing and manipulation software for slicing, filtering, and annotating 3D datasets.
• Labeling platforms: experience with image or point cloud annotation tools (e.g., Supervisely, CVAT, Labelbox, or similar).
• A strong interest in applying AI and computer vision to structural and forensic engineering problems is essential.

Responsibilities

• Support the AI/ML team in labeling and curating datasets for computer vision models, including classification, object detection, instance segmentation, and semantic segmentation.
• Work with 2D image datasets (e.g., photos, drone imagery, plan drawings) to draw and review labels for objects and damage types.
• Work with 3D point cloud models (e.g., structural frames, industrial facilities) to segment and label structural components and other features in 3D space.
• Assist in developing and refining labeling guidelines, class definitions, and attribute schemas to improve consistency and model performance.
• Perform quality assurance (QA/QC) on existing labels, identify labeling errors or ambiguities, and suggest corrections and improvements.
• Help the engineering team prepare example datasets, figures, and visualizations for internal presentations, reports, and publications related to AI model development.
• Assist in basic data pre‑processing and organization (e.g., dataset splitting, file naming, simple scripting) to support experimentation and model training workflows.
• Collaborate with forensic engineers to understand model objectives and failure modes, and adjust labeling strategies accordingly (e.g., edge cases, hard negatives).

Benefits

• Medical, Dental, Vision, Life, AD&D, Disability and other voluntary benefits
• Flexible Spending Accounts for Medical and Childcare
• Paid Time Off, Family Leave for New Parents, Volunteer Time
• Tuition Reimbursement
• Commuter Transit (where available)
• 401k retirement savings with Company matching on employee contributions and/or qualified student loan repayments
• Fitness Reimbursement
• And other various wellness, diversity/inclusion and employee resource programs and initiatives

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees