Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling
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.

Remote Architectural Blueprint Data Annotator

Label Your Data is seeking a remote Data Annotator to label architectural blueprints for a construction-documentation AI project. The role uses bounding boxes, polygons, and Roboflow to support spatial engineering model training.

Description

  • Label structural features such as walls, windows, doors, columns, and furniture on building floor plans with bounding boxes
  • Mark architectural features including walls, rooms, outdoor areas, and other zones with polygon annotations
  • Apply detailed labeling guidelines consistently to maintain quality across assignments
  • Complete annotation tasks using the Roboflow online platform
  • Support AI training by identifying structural elements, spaces, and symbols in architectural blueprints

Requirements

  • Practical knowledge of construction drawings, including plans, elevations, and sections, or a strong willingness to learn
  • Strong attention to detail
  • English proficiency at B1 level or higher for reading instructions and basic conversation
  • Completed or ongoing degree in architecture, civil engineering, or a related discipline is advantageous
  • Previous experience with data annotation or segmentation tasks is advantageous
  • Familiarity with bounding-box and polygon annotation methods is advantageous

Benefits

  • Full-time weekday schedule during business hours
  • Fully remote working arrangement
  • Supportive management with minimal bureaucracy
  • Competitive compensation paid in USD
  • Potential for long-term professional development

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