Label Your Data
Data Annotator | Architectural Project
21 days ago
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Important information
Contract type:
Permanent
Location:
Orhei, Moldova
Work mode:
Remote
Published on:
28 September 2026
What they need
Join Label Your Data as a Data Annotator working on a project focused on the annotation of construction drawings to train an AI model that automates the review of project documentation. You will help teach an AI system to recognize structural elements, spaces, and symbols on architectural blueprints.
What you'll be doing:
- Annotating structural elements (walls, windows, doors, columns) and furniture on building floor plans using bounding boxes;
- Annotating architectural elements (walls, windows, rooms, outdoor spaces, and other zones) using polygons;
- Following detailed annotation guidelines and maintaining consistent labelling quality across all tasks;
- Using Roboflow, an online annotation platform, to complete all labelling work.
Requirements:
- Practical understanding of construction drawings (plans, elevations, sections), or a strong willingness to learn;
- Prior experience in data annotation or segmentation tasks;
- Familiarity with bounding box and polygon annotation techniques.
- Attention to detail;
- English at least B1 (to be able to read instructions, and hold a basic conversation);
Will be a plus:
- Completed or ongoing degree in architecture, civil engineering, or a related field;
What we offer:
- Full-time schedule (business hours, weekdays);
- Fully remote work;
- Supportive management with no bureaucracy;
- Competitive compensation in USD;
- Opportunities for long-term professional growth.
Who are we?
Data is the most vital resource for next-generation spatial engineering and AI applications. Label Your Data has been providing high-quality, secure, and flexible data annotation services across various global industries since 2020. Grab your chance to join us on this innovative construction documentation project, and send us your CV in English highlighting your architectural and technical skills.
Visit our website: https://labelyourdata.com/
*We celebrate diversity and are proud to be an equal opportunity employer.
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