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Data Annotator - Architectural Project

Label Your Data

Remote · Full Time

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Experience
Any
Salary
—
Openings
1
Posted
4 days ago
Work mode
Work from home
Education
Degree in architecture, civil engineering, or related field preferred
Resume
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Job description

About the Role

Join Label Your Data as a Data Annotator dedicated to a project centered around labelling construction drawings to develop an AI model that automates project documentation reviews. Your efforts will train the AI system to identify structural features, spaces, and symbols within architectural blueprints.

Key Responsibilities

  • Label structural components such as walls, windows, doors, and columns, as well as furniture on floor plans, using bounding boxes.
  • Use polygons to annotate architectural features including walls, rooms, windows, outdoor spaces, and various zones.
  • Adhere strictly to detailed annotation guidelines to ensure uniform labelling quality throughout all tasks.
  • Complete annotation assignments via Roboflow, an online annotation tool.

Requirements

  • Hands-on understanding of construction drawings—including plans, elevations, and sections—or a strong enthusiasm to acquire this knowledge.
  • Exceptional attention to detail to ensure accuracy.
  • English proficiency at least at B1 level to comprehend instructions and engage in basic dialogues.

Preferred Qualifications

  • Degree completed or in progress in architecture, civil engineering, or a related discipline.
  • Previous experience in data annotation or image segmentation.
  • Familiarity with bounding box and polygon annotation methods.

What We Offer

  • Full-time working hours aligning with business days, Monday to Friday.
  • Remote workflow allowing work from any location.
  • Supportive leadership culture free of bureaucratic hurdles.
  • Competitive pay denominated in USD.
  • Long-term opportunities for professional advancement.

About Label Your Data

As a leader in delivering precise and secure data annotation across multiple industries since 2020, Label Your Data supports the future of spatial engineering and AI applications with quality data services worldwide. This architectural documentation project offers a unique chance to apply your architectural and technical expertise to advance AI capabilities.

Equal Opportunity Statement

We embrace diversity and proudly maintain an equal opportunity workplace.

Minimum education

Bachelor's Degree

How they work

Attention to Detail

Languages

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