Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling ajută organizațiile să dezvolte sisteme de învățare automată și inteligență artificială prin pregătirea unor date de antrenare de înaltă calitate. Serviciile sale gestionate și de tip self-service acoperă imagini, videoclipuri, materiale audio, texte și procesarea limbajului natural, nori de puncte 3D și date LiDAR, imagistică medicală, date geospațiale și moderarea conținutului, precum și asistență pentru colectarea, generarea și introducerea datelor și pentru ajustarea fină a modelelor lingvistice mari. Compania colaborează cu ingineri de învățare automată, echipe de inteligență artificială, manageri de produs și cercetători din domenii precum industria auto, sănătatea, producția, dronele, robotica, comerțul cu amănuntul și finanțele, folosind fluxuri de lucru flexibile, integrări independente de instrumente și acorduri de servicii axate pe calitate.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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