Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling ұйымдарға сапалы оқыту деректерін дайындау арқылы машиналық оқыту және жасанды интеллект жүйелерін құруға көмектеседі. Оның басқарылатын және өз бетінше пайдаланылатын қызметтері кескін, бейне, аудио, мәтін және табиғи тілді өңдеу, 3D нүктелер бұлттары мен LiDAR, медициналық кескіндер, геокеңістіктік деректер және контентті модерациялауды, сондай-ақ деректерді жинау, жасау және енгізу мен үлкен тілдік модельдерді дәл баптауды қолдауды қамтиды. Компания автомобиль өнеркәсібі, денсаулық сақтау, өндіріс, дрондар, робототехника, бөлшек сауда және қаржы сияқты салалардағы машиналық оқыту инженерлерімен, жасанды интеллект топтарымен, өнім менеджерлерімен және зерттеушілермен жұмыс істейді. Бұл ретте икемді жұмыс процестері, нақты бір құралға тәуелсіз интеграциялар және сапаға бағытталған қызмет көрсету келісімдері пайдаланылады.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • 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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