Data Annotator | Architectural Project

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NieokreśloneFull-time
#449200·Dodano wczoraj·0
Źródło: Label Your Data
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Tech Stack / Keywords

bounding boxespolygonsRoboflowdata annotationsegmentationarchitecturecivil engineeringAIComputer Vision

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 have a diverse team across Europe, LATAM, and Africa, maintaining a 98%+ accuracy benchmark in more than 20 industries including Automotive, Robotics, Healthcare, E-commerce, Agriculture, Retail, and Fintech. The company is GDPR, HIPAA, and CCPA-compliant, holding ISO/IEC 27001:2013 and PCI/DSS certifications, ensuring high standards of data security and confidentiality. They operate team hubs in North America, the EU, and Asia and provide services such as image & video annotation, text annotation, audio annotation, sensor data annotation, data classification & categorization, data entry, collection, and model validation and QA.

Wymagania

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

Nice to have:

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

Obowiązki

  • Annotate structural elements such as walls, windows, doors, and columns on building plans using bounding boxes.
  • Annotate architectural elements including walls, windows, rooms, open spaces, and other zones using polygons.
  • Follow detailed annotation instructions and maintain consistent quality in all tasks.
  • Use the online annotation platform Roboflow for all assignments.

Benefity

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

Label Your Data

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