Label Your Data
via Workable
Data Annotator | Architectural Project
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 21h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 22d ago
The date the source published, not the day we noticed it (2026-08-24). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Ukraine
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £74k–98.8k/yr
Middle 50% of 12 listings that do state pay — Operations · all levels · EMEA · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Carried by 1 source
-
workable employer's own board first seen 11d ago · last seen just now
The listing
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.