Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling
Label Your Data – Data Annotation & Labeling उच्च-गुणवत्ता वाले प्रशिक्षण डेटा तैयार करके संगठनों को मशीन लर्निंग और एआई सिस्टम बनाने में मदद करती है। इसकी प्रबंधित और सेल्फ-सर्विस सेवाओं में इमेज, वीडियो, ऑडियो, टेक्स्ट और एनएलपी, 3D पॉइंट क्लाउड और LiDAR, मेडिकल इमेजिंग, जियोस्पेशियल डेटा और कंटेंट मॉडरेशन के साथ-साथ डेटा संग्रह, डेटा जनरेशन, डेटा एंट्री और LLM फाइन-ट्यूनिंग सहायता शामिल हैं। कंपनी ऑटोमोटिव, हेल्थकेयर, मैन्युफैक्चरिंग, ड्रोन, रोबोटिक्स, रिटेल और वित्त जैसे क्षेत्रों में ML इंजीनियरों, एआई टीमों, प्रोडक्ट मैनेजरों और शोधकर्ताओं के साथ काम करती है। इसके लिए लचीले वर्कफ़्लो, विभिन्न टूल्स के साथ एकीकरण और गुणवत्ता-केंद्रित सेवा समझौतों का उपयोग किया जाता है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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