Remote Architect Advisor for AI Architecture (Part-Time)

Weekday 1

United States

Remote

USD 90,000 - 124,000

Part time

14 days+
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Benefits offered by this job

Fully remote

Job summary

Weekday 1 is seeking an experienced US-licensed architect to review AI-generated architectural content for technical accuracy and practicality. The role is remote, part-time (~10 hours per week), with potential for long-term collaboration based on performance.

You will provide expert feedback, recommend standards and resources, and share knowledge of real-world workflows and documentation practices to improve AI models.

Qualifications

  • US-licensed architect with a professional degree in architecture.
  • 2+ years of professional architectural experience across multiple project types preferred.
  • Familiarity with building codes (IBC) and industry standards; proficiency in Arch software.

Responsibilities

  • Review and evaluate AI-generated architectural content for technical accuracy and relevance.
  • Provide well-reasoned feedback based on architectural expertise.
  • Suggest reference materials, standards, and resources to support accurate architectural knowledge.
  • Share real-world architectural workflows, design processes, and documentation practices.
  • Collaborate with subject matter experts to improve AI model performance and consistency.
  • Identify inaccuracies and opportunities to improve AI-generated architectural responses.

Skills

English communication
Architectural experience

Education

Professional architectural license (US)
Professional degree in Architecture

Tools

Revit
AutoCAD
BIM platforms

Job description

Weekday 1 is seeking an experienced US-licensed architect to review AI-generated architectural content for technical accuracy and practicality. The role is remote, part-time (~10 hours per week), with potential for long-term collaboration based on performance.

You will provide expert feedback, recommend standards and resources, and share knowledge of real-world workflows and documentation practices to improve AI models.

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