Data Annotator – Architectural Project

🔥 0 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⬇️ Data Entry

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Label Your Data – Data Annotation & Labeling

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

🚘 Automotive

🏥 Healthcare

🏭 Manufacturing

Automotive • Healthcare • Manufacturing

<Label Your Data – Data Annotation & Labeling> is a data annotation and labeling company that provides managed and self-serve platform services to prepare high-quality training datasets for machine learning and AI projects. They offer a wide range of annotation types—image, video, audio, text/NLP, 3D point cloud/LiDAR, medical imaging, GIS/geospatial, and content moderation—plus data collection, generation, entry, and LLM fine-tuning support. Label Your Data serves ML engineers, AI teams, product managers, and researchers across industries such as drones, autonomous vehicles, robotics, retail/e-commerce, healthcare, and finance, and emphasizes flexible pricing, tool-agnostic integrations, SLAs for quality, and free pilot projects.

📋 Description

• Annotate structural elements (walls, windows, doors, columns) and furniture on building floor plans using bounding boxes • Annotate architectural elements (walls, windows, rooms, outdoor spaces, and other zones) using polygons • Follow detailed annotation guidelines and maintain consistent labelling quality across all tasks • Use Roboflow, an online annotation platform, to complete all labelling work • Contribute to training an AI model that automates the review of project documentation

🎯 Requirements

• Practical understanding of construction drawings (plans, elevations, sections), or a strong willingness to learn • Prior experience in data annotation or segmentation tasks • Familiarity with bounding box and polygon annotation techniques • Attention to detail • English at least B1 (to be able to read instructions, and hold a basic conversation)

🏖️ Benefits

• Full-time schedule (business hours, weekdays) • Fully remote work • Supportive management with no bureaucracy • Competitive compensation in USD • Opportunities for long-term professional growth