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.

Data Annotator – Architectural Blueprints (Remote, Armenia)

Label Your Data is hiring a remote Data Annotator in Armenia for an AI construction-documentation project. Label structural and spatial features in architectural blueprints using bounding boxes, polygons, and Roboflow.

Description

  • Label walls, windows, doors, columns, and furniture on building floor plans with bounding boxes
  • Mark walls, windows, rooms, outdoor spaces, and other zones on architectural drawings with polygons
  • Apply detailed annotation guidelines to maintain consistent labeling quality
  • Complete annotation tasks in Roboflow, an online labeling platform
  • Help train an AI model to review project documentation and recognize structural elements, spaces, and symbols

Requirements

  • Practical knowledge of construction drawings, including plans, elevations, and sections, or 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 a plus
  • Previous experience with data annotation or segmentation is a plus
  • Familiarity with bounding-box and polygon annotation methods is a plus
  • Ability to submit a CV in English

Benefits

  • Full-time weekday schedule during business hours
  • Fully remote position
  • Supportive management with minimal bureaucracy
  • Compensation paid in USD
  • Opportunities for long-term professional development

Related Jobs