AI Data Labeling Intern (Construction/Architecture Background)

As an AI Data Labeling Intern (Construction/Architecture Background), you will join the AI-Powered Takeoff Team in Vietnam, working alongside a passionate in-house AI team to label, annotate, and classify data that directly powers our AI models. Your work will be at the heart of transforming technical drawings (PDFs, CAD files, and blueprints) into actionable data - and the quality of what you label shapes the intelligence of what we build. This is your opportunity to learn how real-world AI products are made from the data level up, grow your skills, and take your first step toward a meaningful career in data and AI.
PROJECT DESCRIPTION
AI-Powered Takeoff is an intelligent construction TakeOff platform designed to automate material quantity takeoffs from architectural and engineering drawings. By leveraging computer vision, machine learning, and the system extracts, measures, and categorizes building components directly from digital blueprints PDF, significantly reducing manual effort, errors, and turnaround time.
The objective of AI-Powered Takeoff is to:
- Automate quantity detection from drawings
- Assist with measurements (length, area, count, volume)
- Organize extracted quantities in structured formats
- Support revision comparison
- Reduce manual tracing effort
WHAT YOU'LL BE DOING
- Review structural drawings and engineering documents.
- Understanding of material quantity takeoff and construction estimating principles
- Label and annotate structural elements in drawings for AI training purposes.
- Identify basic structural components such as walls, beams, openings, framing & hardware elements.
- Support AI-based takeoff and drawing analysis tasks.
- Perform basic quality checks to ensure annotation accuracy.
- Follow labeling guidelines and maintain consistency across datasets.