Architectural Floor Plan Labeling Specialist

About OpenTrain

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• Remote contract work available worldwide
• Part-time schedule of 20+ hours per week
• Hourly pay of $10 USD

About AI Training and Data Labeling

AI training is the human side of building artificial intelligence. Contributors prepare and review examples that help computer vision systems recognize objects, spaces, and visual patterns. In this project, your annotations will support a segmentation model designed to detect rooms and classify occupancy types in architectural drawings.

• Help shape how computer vision systems understand floor plans
• Use human judgment to create consistent training data
• Build practical experience in a fast-growing AI field

The Role

OpenTrain AI is seeking an intermediate-level Architectural Floor Plan Labeler to annotate floor-plan images in Roboflow. You will identify individual rooms, draw accurate polygon masks, and assign occupancy types such as Bedroom, Bathroom, Corridor, Storage, Mechanical, and Office.

Source files include images extracted from architectural PDFs and high-resolution raster images. Floor plans vary in style, clarity, and density across residential, commercial, and mixed-use layouts. Each file typically requires 15 to 20 or more labeled items consisting of polygons and room-type tags.

• Pay: $10 USD per hour
• Work type: Part-time contractor
• Time requirement: 20+ hours per week
• Working language: English
• Location: Worldwide

What You'll Do

You will create detailed visual annotations that accurately represent the rooms shown in each floor plan. Careful interpretation of walls, boundaries, room names, abbreviations, and architectural symbols will be important for maintaining dataset quality.

• Draw polygon masks around every room shown in an architectural floor plan
• Label each room with the appropriate occupancy type
• Keep polygons clean, non-overlapping, and aligned with printed room boundaries
• Verify that text labels, including room names, match the assigned occupancy type
• Work with floor plans from residential, commercial, and mixed-use buildings
• Complete batch-based labeling work accurately and meet deadlines

Requirements

Prior experience with polygon or segmentation labeling in Roboflow, CVAT, Labelbox, or a similar data-labeling tool is required. You should be comfortable following detailed written instructions, applying examples consistently, and maintaining strong attention to detail across many annotations.

The ability to read and interpret basic architectural floor plans, including walls, rooms, doors, and symbols, is required. Basic familiarity with building layouts is preferred but not required because detailed instructions and examples will be provided.

• Experience with Roboflow or a similar annotation platform
• Ability to interpret basic architectural floor plans
• Strong accuracy when drawing polygon masks and assigning room labels
• Consistency when following written labeling guidelines
• Reliable communication and ability to meet batch deadlines
• Architecture, drafting, civil engineering, or a related background is preferred but not required

Who Should Apply

This project may suit detail-oriented contractors who enjoy visual analysis and structured annotation work. It is especially relevant to people with experience in computer vision labeling or familiarity with architectural drawings, while motivated applicants without a formal architecture background can still be considered if they can interpret floor plans and follow the provided guidance.

• Data labelers with polygon or segmentation experience
• Architectural, drafting, or civil engineering professionals
• Applicants comfortable reviewing dense or varied visual source material
• Contributors seeking flexible, remote AI training work

How the Work Supports AI

Your annotations will be used to train a computer vision model for automated room detection and occupancy classification within architectural drawings. Accurate masks and room-type labels help the model learn the location, shape, and purpose of spaces across many different floor-plan styles.

• Review the project instructions and examples
• Open assigned floor-plan files in Roboflow
• Annotate rooms with polygon and segmentation tools
• Apply the correct occupancy type to each room
• Check boundaries, overlaps, and text-label consistency before submission