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Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling
201 – 500 Employees
AutomotiveHealthcareManufacturing
Label Your Data – Data Annotation & Labeling helps organizations build machine learning and AI systems by preparing high-quality training data. Its managed and self-serve services cover image, video, audio, text and NLP, 3D point clouds and LiDAR, medical imaging, geospatial data, and content moderation, alongside data collection, generation, entry, and LLM fine-tuning support. The company works with ML engineers, AI teams, product managers, and researchers in fields including automotive, healthcare, manufacturing, drones, robotics, retail, and finance, using flexible workflows, tool-agnostic integrations, and quality-focused service agreements.
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Data Annotator – Architectural Plans (Remote, Slovakia)

Annotate architectural drawings for Label Your Data’s AI model using bounding boxes, polygons, and Roboflow. The role focuses on accurately labeling construction plans and related architectural features.

SKSlovakiaRemoteFull-timeMiddleSeniorEnglish RequiredUkrainian RequiredData Entry

Description

  • Label structural elements such as walls, windows, doors, columns, and furniture on building plans using bounding boxes.
  • Mark architectural features—including walls, windows, rooms, open spaces, and other zones—using polygons.
  • Follow detailed annotation guidelines and maintain consistent labeling quality across tasks.
  • Complete all annotation work in Roboflow, an online annotation platform.

Requirements

  • Practical understanding of construction drawings, including plans, elevations, and sections, or the willingness to learn how to work with them.
  • Previous experience in data annotation or segmentation tasks.
  • Knowledge of annotation techniques using bounding boxes and polygons.
  • Strong attention to detail.
  • English proficiency sufficient to understand instructions and annotation guidelines.

Benefits

  • Full-time work during weekday business hours.
  • Fully remote work.
  • Management support with minimal bureaucracy.
  • Compensation paid in U.S. dollars.
  • Opportunities for long-term professional development.

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