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।

Remote Architectural Blueprint Data Annotator

Label Your Data is seeking a remote Data Annotator to label architectural blueprints for a construction-documentation AI project. The role uses bounding boxes, polygons, and Roboflow to support spatial engineering model training.

विवरण

  • Label structural features such as walls, windows, doors, columns, and furniture on building floor plans with bounding boxes
  • Mark architectural features including walls, rooms, outdoor areas, and other zones with polygon annotations
  • Apply detailed labeling guidelines consistently to maintain quality across assignments
  • Complete annotation tasks using the Roboflow online platform
  • Support AI training by identifying structural elements, spaces, and symbols in architectural blueprints

आवश्यकताएँ

  • Practical knowledge of construction drawings, including plans, elevations, and sections, or a strong willingness to learn
  • Strong attention to detail
  • English proficiency at B1 level or higher for reading instructions and basic conversation
  • Completed or ongoing degree in architecture, civil engineering, or a related discipline is advantageous
  • Previous experience with data annotation or segmentation tasks is advantageous
  • Familiarity with bounding-box and polygon annotation methods is advantageous

लाभ

  • Full-time weekday schedule during business hours
  • Fully remote working arrangement
  • Supportive management with minimal bureaucracy
  • Competitive compensation paid in USD
  • Potential for long-term professional development

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