Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling tashkilotlarga yuqori sifatli o‘quv ma’lumotlarini tayyorlash orqali mashinaviy o‘rganish va sun’iy intellekt tizimlarini yaratishda yordam beradi. Kompaniyaning boshqariladigan va mustaqil foydalanish uchun mo‘ljallangan xizmatlari tasvir, video, audio, matn va tabiiy tilni qayta ishlash, 3D nuqtalar bulutlari va LiDAR, tibbiy tasvirlar, geofazoviy ma’lumotlar hamda kontent moderatsiyasini, shuningdek ma’lumotlarni yig‘ish, yaratish, kiritish va katta til modellarini nozik sozlash bo‘yicha yordamni qamrab oladi. Kompaniya avtomobilsozlik, sog‘liqni saqlash, ishlab chiqarish, dronlar, robototexnika, chakana savdo va moliya kabi sohalardagi mashinaviy o‘rganish muhandislari, sun’iy intellekt jamoalari, mahsulot menejerlari va tadqiqotchilar bilan ishlaydi. Bunda moslashuvchan ish jarayonlari, muayyan vositaga bog‘liq bo‘lmagan integratsiyalar va sifatga yo‘naltirilgan xizmat kelishuvlaridan foydalaniladi.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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