Architectural & Interior Visualization Specialist; AI Evaluation
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Design & Architecture
AI Evaluation, AI Business & Operations
Job Description & How to Apply Below
$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
- 5+ years delivering full design packages at a major architecture or visualization firm
- Proficiency in AutoCAD, Revit, Sketch Up, 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
“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 Control Net 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 Control Net 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…
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