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.

Architectural Data Annotator (Remote, Albania)

Label architectural and construction drawings for an AI review system. Use bounding boxes, polygons, and Roboflow to identify building elements, spaces, and symbols.

Description

  • Mark walls, windows, doors, columns, and furniture on building floor plans with bounding boxes.
  • Outline walls, windows, rooms, outdoor areas, and other zones with polygon annotations.
  • Apply the provided annotation standards consistently to maintain quality across assignments.
  • Complete all labeling tasks in the Roboflow online annotation platform.
  • Support the development of an AI model for automated project-documentation review.
  • Train the system to identify 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.
  • High attention to detail.
  • English proficiency at B1 level or higher for reading instructions and holding basic conversations.
  • Submit an English-language CV that highlights your architectural and technical skills.

Benefits

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

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