Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling ajută organizațiile să dezvolte sisteme de învățare automată și inteligență artificială prin pregătirea unor date de antrenare de înaltă calitate. Serviciile sale gestionate și de tip self-service acoperă imagini, videoclipuri, materiale audio, texte și procesarea limbajului natural, nori de puncte 3D și date LiDAR, imagistică medicală, date geospațiale și moderarea conținutului, precum și asistență pentru colectarea, generarea și introducerea datelor și pentru ajustarea fină a modelelor lingvistice mari. Compania colaborează cu ingineri de învățare automată, echipe de inteligență artificială, manageri de produs și cercetători din domenii precum industria auto, sănătatea, producția, dronele, robotica, comerțul cu amănuntul și finanțele, folosind fluxuri de lucru flexibile, integrări independente de instrumente și acorduri de servicii axate pe calitate.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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