Paid Study: Architectural Design Software Research Participant
Job Description
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We are running a paid study on the software and workflows used in modern building design. Understanding how professionals draft, iterate, and finalize their concepts is critical for improving next-generation tools. Your insights will directly inform the development of more intuitive and efficient drafting environments.
How It Works
During a remote video session, you will walk us through your current tech stack and how you approach complex design phases. We will share several early prototypes of new design tools and ask you to react to their functionality. You will explain what works well, identify friction points, and discuss how these concepts compare to your existing workflow. Expect an interactive conversation focused on your day-to-day drafting habits.
Who This Is For
We are looking for practicing architects who actively use digital design software in their daily work. Ideal candidates have hands-on experience managing end-to-end building projects, from initial sketches to final blueprints. We welcome commercial architects, residential architects, and architectural designers who understand complex project workflows.
What You'll Do
Walk us through your current building design software and daily workflow.
Review early prototypes for new architectural design tools.
Identify workflow bottlenecks and areas for software improvement.
Explain how you manage transitions between different phases of a design project.
Who Should Apply
Currently practicing as a professional architect or architectural designer.
Hands-on experience with industry-standard building design software.
Familiar with managing complex drafting and modeling workflows.
Comfortable providing constructive feedback on early software prototypes.
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Terac
View Company ProfileTerac is an elite, enterprise-grade AI-native market research and expert data orchestration platform engineered to operate as the definitive, high-velocity infrastructure layer connecting frontier AI models and enterprise product teams with on-demand human expertise. Operating as a mission-critical "intelligence infrastructure layer" for the modern data economy, the company eliminates the severe operational friction of traditional qualitative research—which frequently suffers from slow participant sourcing, manual scheduling bottlenecks, and multi-week analysis cycles—by deploying automated, voice-based AI agents capable of conducting natural, personalized interviews with hundreds of participants simultaneously. Moving far beyond rigid legacy survey tools, Terac serves a dual purpose: it acts as a scalable consumer insights engine for product teams and a highly vetted marketplace for the human data economy, allowing frontier AI labs and research institutions to instantly tap into specialized, high-stakes human judgment for model evaluation and RLHF. Under the hood, their sophisticated proprietary validation infrastructure—backed by top-tier venture capital—natively handles automated participant recruitment, strict quality-control vetting, smart routing, multi-region payouts, and immediate programmatic synthesis of unstructured conversation into structured, actionable data graphs. What sets Terac apart is its uncompromising dedication to shifting how humans and AI collaborate at scale; by bridging the gap between performance-intensive, data-hungry enterprise workflows and accessible, flexible expert panels, the firm enables global technology organizations to radically accelerate their product-market loops, eliminate data engineering bottlenecks, and build an unassailable foundation for continuous model and product alignment.
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