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.

Geospatial LiDAR Data Annotator (Remote in Albania)

Create detailed 3D models of power-grid infrastructure for Label Your Data’s geospatial AI projects. Use LiDAR point clouds, GIS maps, and drone imagery to produce accurate digital twins.

Сипаттама

  • Build three-dimensional power-grid networks from LiDAR point clouds and GIS mapping data
  • Position poles, lines, conductors, and other 3D elements to reflect real-world infrastructure
  • Match two-dimensional source maps with corresponding 3D models
  • Review high-resolution drone imagery to label grid assets and identify structural issues
  • Help develop precise digital twins of power grids and other critical infrastructure for energy-network analysis, risk forecasting, and maintenance planning

Талаптар

  • Demonstrated spatial awareness and confidence navigating three-dimensional environments
  • B2-level English for understanding instructions, completing training, and communicating with the team
  • Strong attention to detail, practical problem-solving ability, and openness to feedback
  • A PC or laptop with an Intel i7-11800H or equivalent processor, a dedicated GPU such as an NVIDIA T1200 or better, and at least 16 GB of RAM; 32 GB is preferred
  • An English-language CV that clearly presents spatial and technical capabilities

Артықшылықтар

  • Full-time working schedule of nine hours per day, including a paid one-hour lunch break
  • Fully remote position
  • Accessible management structure with minimal bureaucracy
  • Potential for sustained professional development
  • Commitment to equal employment opportunity

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