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।

Architectural Data Annotator (Remote, Albania)

Label architectural and construction drawings for an AI review system. Use bounding boxes, polygons, and Roboflow to identify building elements, spaces, and symbols.

विवरण

  • Mark walls, windows, doors, columns, and furniture on building floor plans with bounding boxes.
  • Outline walls, windows, rooms, outdoor areas, and other zones with polygon annotations.
  • Apply the provided annotation standards consistently to maintain quality across assignments.
  • Complete all labeling tasks in the Roboflow online annotation platform.
  • Support the development of an AI model for automated project-documentation review.
  • Train the system to identify 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.
  • High attention to detail.
  • English proficiency at B1 level or higher for reading instructions and holding basic conversations.
  • Submit an English-language CV that highlights your architectural and technical skills.

लाभ

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

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