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.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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

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