Job Description
Note:
The job is a remote job and is open to candidates in USA. Agency is seeking early-career professionals to support the development of next-generation AI systems in architecture and construction. In this role, you will review model outputs and contribute to higher-quality datasets for the built-environment industry using your foundational knowledge of construction documentation. Responsibilities Review model outputs for errors and inconsistencies Contribute to the development of clean, domain-specific datasets Partner with internal teams to follow established quality guidelines Flag edge cases during the data review process Skills Foundational exposure to architecture, engineering, or construction management Understanding of drafting concepts and basic construction documentation Hands-on experience reading common construction drawings such as plans, elevations, sections, and simple detail sheets General familiarity with CSI divisions, schedules, and standard sheet layouts Comfortable navigating basic drawing sets Recognizing common symbols and annotations Working with title blocks, tags, and callouts Strong attention to detail Introductory experience with digital construction tools such as Bluebeam, AutoCAD, Revit, or PlanGrid Ability to assess whether visual and technical information appears clear and correct Exposure to data labeling platforms Experience with ML training processes Familiarity with computer vision concepts Company Overview Invisible Technologies makes AI work.
Our platform cleans, labels, and structures company data so it’s ready for AI. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is Company H1B Sponsorship Invisible Technologies has a track record of offering H1B sponsorships, with 9 in 2025. Please note that this does not guarantee sponsorship for this specific role.