Data Annotator | Architectural Project

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NieokreśloneFull-time
#449196·Dodano 3 dni temu·0
Źródło: Label Your Data
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Tech Stack / Keywords

bounding boxespolygonsRoboflowdata annotationsegmentationAI modelannotation accuracy

Firma i stanowisko

Label Your Data is a global data annotation company supporting AI teams with high-quality, secure, and scalable annotation services for Computer Vision and NLP. They maintain a 98%+ annotation accuracy benchmark across 20+ industries including Automotive, Robotics, Healthcare, E-commerce, Agriculture, Retail, and Fintech. Their services include image & video annotation (2D boxes, polygons, semantic segmentation, 3D cuboids, OCR), text annotation, audio annotation, sensor data annotation, data classification & categorization, data entry and collection, and model validation and QA. The company operates across Europe, LATAM, Africa, North America, the EU, and Asia, compliant with GDPR, HIPAA, CCPA, and certified with ISO/IEC 27001:2013 and PCI/DSS.

Wymagania

  • Practical understanding of architectural drawings (plans, facades, sections) or willingness to learn.
  • Previous experience in data annotation or segmentation tasks.
  • Knowledge of annotation techniques with bounding boxes and polygons.
  • Attention to detail.
  • English language proficiency to understand instructions and guidelines.

Nice to have:

  • Education in architecture, civil engineering, or related fields.

Obowiązki

  • Annotate structural elements (walls, windows, doors, columns) and furniture on building plans using bounding boxes.
  • Annotate architectural elements (walls, windows, rooms, open spaces, and other zones) using polygons.
  • Follow detailed annotation instructions and maintain consistent quality across all tasks.
  • Use Roboflow online platform to perform annotation tasks.

Benefity

  • Full-time work during business hours on weekdays.
  • Fully remote work.
  • Management support with minimal bureaucracy.
  • Compensation in US dollars.
  • Opportunities for long-term professional development.
Label Your Data

Label Your Data

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