Architectural & Interior Visualization Specialist (AI Evaluation)

Training Turk; United States; Remote; USD 96,000 - 165,000; Full time

Job summary

Mercor is seeking an architectural & interior visualization specialist to design full drawing sets and produce photorealistic renders for AI training data. You will assess design outputs for spatial logic, code compliance, and material accuracy while collaborating with AI researchers to improve training data quality.

Applicants should have 5+ years delivering full design packages at top firms and be proficient in AutoCAD, Revit, SketchUp, Rhino, and rendering engines like V-Ray or Unreal.

Qualifications

• 5+ years delivering full design packages at a major architecture or visualization firm.
• Proficiency in AutoCAD, Revit, SketchUp, Rhino and rendering engines like V-Ray or Unreal.
• Familiarity with IBC, ADA and local building codes, with ability to explain compliance decisions.
• Portfolio of shipped projects and hands-on use of generative AI tools such as Midjourney or Stable Diffusion.

Responsibilities

• Design realistic architectural tasks and produce complete drawing sets.
• Generate photorealistic interior and exterior renders with V-Ray, Corona, Unreal, etc.
• Create guidelines and rubrics to assess AI-generated design outputs.
• Review AI-produced plans for spatial logic, code compliance and material accuracy.
• Collaborate with AI researchers to improve training data quality.

Skills

Full design packages

AutoCAD

Revit

SketchUp

Rhino

V-Ray

Unreal

IBC/ADA knowledge

Tools

AutoCAD

Revit

Job description

$70–120/hr

$70–120/hr

Mercor

Full time, 40 hours a week

Architectural & interior visualization specialist who builds and critiques design data for generative AI training.

What you would do

• Design realistic architectural tasks and produce complete drawing sets
• Generate photorealistic interior and exterior renders with V‑Ray, Corona, Unreal, etc.
• Create guidelines and rubrics to assess AI‑generated design outputs
• Review AI‑produced plans for spatial logic, code compliance and material accuracy
• Collaborate with AI researchers to improve training data quality

Who they want

• 5+ years delivering full design packages at a major architecture or visualization firm
• Proficiency in AutoCAD, Revit, SketchUp, Rhino and rendering engines like V‑Ray or Unreal
• Familiarity with IBC, ADA and local building codes, with ability to explain compliance decisions
• Portfolio of shipped projects and hands‑on use of generative AI tools such as Midjourney or Stable Diffusion
• Availability for a 40‑hour weekday schedule

What the interview asks about

“A client wants the AI to generate floor plans for a 2,500‑sq‑ft office building with specific circulation requirements; how would you structure the task and what deliverables would you provide?”

• Task design for AI training

  “A client wants the AI to generate floor plans for a 2,500‑sq‑ft office building with specific circulation requirements; how would you structure the task and what deliverables would you provide?”

  Why this comes up

  Interviewers need to confirm you can translate real‑world design problems into AI‑ready datasets that challenge the model appropriately.

• Rendering quality standards

  “When evaluating an AI‑generated twilight rendering of a lobby, what criteria would you use to decide if the lighting and material representation are acceptable?”

  • Rendering quality standards

    “When evaluating an AI‑generated twilight rendering of a lobby, what criteria would you use to decide if the lighting and material representation are acceptable?”

    Why this comes up

    They will assess your ability to set visual fidelity benchmarks that AI outputs must meet.

• Code compliance assessment

  “An AI model proposes a stairwell that violates the IBC’s minimum headroom; how would you document the issue and guide the model’s correction?”

  • Code compliance assessment

    “An AI model proposes a stairwell that violates the IBC’s minimum headroom; how would you document the issue and guide the model’s correction?”

    Why this comes up

    Ensuring AI designs respect building regulations is critical to safe, usable outputs.

• Feedback communication

  “After reviewing an AI‑generated interior elevation, you notice inconsistent material naming; draft the feedback you would send to the research team.”

  • Feedback communication

    “After reviewing an AI‑generated interior elevation, you notice inconsistent material naming; draft the feedback you would send to the research team.”

    Why this comes up

    Clear written critiques help improve model performance and guide future training cycles.

• Generative AI workflow integration

  “Describe how you would use ControlNet to turn a hand‑sketched floor plan into a detailed Revit model for AI training, noting any pitfalls you’d watch for.”

  • Generative AI workflow integration

    “Describe how you would use ControlNet to turn a hand‑sketched floor plan into a detailed Revit model for AI training, noting any pitfalls you’d watch for.”

    Why this comes up

    Your experience with AI tools shows you can bridge traditional design and emerging technology.

• Collaboration with research teams

  “A data scientist requests a set of 10‑story building sections with specific façade materials; how would you prioritize and deliver these assets while maintaining quality?”

  • Collaboration with research teams

    “A data scientist requests a set of 10‑story building sections with specific façade materials; how would you prioritize and deliver these assets while maintaining quality?”

    Why this comes up

    Cross‑disciplinary coordination ensures data consistency and model relevance.

A task you may get

You may be asked to produce a complete set of construction drawings and a photorealistic render for a given brief, then critique a sample AI‑generated version for code and visual issues.

How to prepare

• Gather a portfolio of full drawing sets and renders you’ve delivered, highlighting code compliance notes
• Refresh your knowledge of IBC/ADA requirements relevant to the types of projects in the listing
• Practice evaluating AI‑generated design samples and writing concise feedback

The facts

Pay $70–120/hr

Hours Full time, 40 hours a week

Where Remote, United States

Open to USA

Posted 11/5/2026

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