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 Project (Azerbaijan Remote)

Label construction drawings for an AI documentation-review project by identifying architectural elements with bounding boxes and polygons in Roboflow.

Description

  • Mark structural features and furniture on building floor plans with bounding boxes
  • Map walls, rooms, windows, outdoor areas, and other architectural zones using polygon annotations
  • Apply project guidelines carefully to deliver consistent, accurate labels
  • Complete annotation tasks in the Roboflow online platform
  • Help train an AI model designed to automate project-documentation reviews

Requirements

  • Practical knowledge of construction drawings, including plans, elevations, and sections, or the willingness to develop this knowledge
  • Strong attention to detail
  • English proficiency at B1 level or higher for reading instructions and basic conversation

Benefits

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

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