Job description
What We're Researching
We're running a paid study on data structuring practices within architecture firms. Transforming messy operational data into clean evaluations and structured formats is critical for post-training workflows. Help us evaluate the current methodologies and challenges teams face when organizing this specialized architectural data.
How It Works
You will participate in a remote video interview to discuss how your firm handles operational data. We will ask you to walk us through the end-to-end process of turning unstructured architectural data into usable evaluations. You will be shown a few hypothetical data transformation scenarios and asked to provide feedback on potential workflow improvements. We will also ask you to describe the specific tools and practices your team relies on for post-training data management.
Who This Is For
We are looking for operations specialists, data managers, and technical architects who handle operational data within architecture firms. We welcome data operations leads, BIM managers, and internal workflow specialists with direct experience in post-training evaluations. If you regularly wrangle messy firm data into structured formats, this study is a great fit.
What You'll Do
Discuss how your architecture firm transforms messy operational data into structured evaluations.
Walk us through your day-to-day data management and post-training workflows.
Evaluate hypothetical data structuring scenarios and provide feedback on their efficiency.
Describe the tools and methodologies your team uses to manage internal architectural data.
Who Should Apply
Professional experience handling data operations or workflows within an architecture firm.
Hands-on experience converting unstructured operational data into structured formats.
Familiarity with post-training evaluations and internal data management practices.
Comfortable discussing technical workflows in a remote video interview.
Compensation
$100 per hour
Ready to participate?
Start your paid interview now
About Terac
Terac is building the world's largest pool of vetted human experts for AI. Researchers, AI labs, and product teams use Terac to recruit, screen, and pay study participants across industries, languages, and skill sets.
Learn more at or on YouTube at @jointerac.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.