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 Plans (Remote, Slovakia)

Annotate architectural drawings for Label Your Data’s AI model using bounding boxes, polygons, and Roboflow. The role focuses on accurately labeling construction plans and related architectural features.

Сипаттама

  • Label structural elements such as walls, windows, doors, columns, and furniture on building plans using bounding boxes.
  • Mark architectural features—including walls, windows, rooms, open spaces, and other zones—using polygons.
  • Follow detailed annotation guidelines and maintain consistent labeling quality across tasks.
  • Complete all annotation work in Roboflow, an online annotation platform.

Талаптар

  • Practical understanding of construction drawings, including plans, elevations, and sections, or the willingness to learn how to work with them.
  • Previous experience in data annotation or segmentation tasks.
  • Knowledge of annotation techniques using bounding boxes and polygons.
  • Strong attention to detail.
  • English proficiency sufficient to understand instructions and annotation guidelines.

Артықшылықтар

  • Full-time work during weekday business hours.
  • Fully remote work.
  • Management support with minimal bureaucracy.
  • Compensation paid in U.S. dollars.
  • Opportunities for long-term professional development.

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