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Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling
201 – 500 Employees
AutomotiveHealthcareManufacturing
Label Your Data – Data Annotation & Labeling helps organizations build machine learning and AI systems by preparing high-quality training data. Its managed and self-serve services cover image, video, audio, text and NLP, 3D point clouds and LiDAR, medical imaging, geospatial data, and content moderation, alongside data collection, generation, entry, and LLM fine-tuning support. The company works with ML engineers, AI teams, product managers, and researchers in fields including automotive, healthcare, manufacturing, drones, robotics, retail, and finance, using flexible workflows, tool-agnostic integrations, and quality-focused service agreements.
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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.

ALAlbaniaRemoteFull-timeMiddleSeniorEnglish RequiredData Entry
Cloud

Description

  • 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

Requirements

  • 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

Benefits

  • 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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