Architecture ExpertThe future of AI whether in training or evaluation, classical ML or agentic workflows starts with high-quality data.At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems.Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines powering everything from model training datasets to eval test sets to continuous feedback loops. We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems we'd love to talk.About the ProjectYou'll annotate architectural floor plans to train computer vision models that automatically recognize and segment building elements - contributing to cutting-edge technology that transforms how spaces are designed and visualized.What You'll DoAnnotate architectural floor plans using our Label Studio Enterprise platform to identify and segment:Core infrastructure (elevators, stairs, shafts, mechanical rooms)Doors (single, double, swing, emergency exits)Restrooms and accessibility featuresStructural elements (columns, walls)Service areas (janitor closets, electrical rooms, AHU rooms)Ensure geometric accuracy (closed polygons, continuous walls, proper right angles)Follow strict annotation guidelines to maintain consistency across the datasetIdentify rare or missing elements across floor plansParticipate in weekly calibration sessions to review edge cases and maintain quality standardsMeet quality benchmarks for accuracy, completeness, and consistencyBasic QualificationsRequired ExperienceStrong proficiency reading architectural floor plans (AutoCAD, Revit, or hand-drawn)Understanding of architectural symbols and conventionsKnowledge of building systems and core building elementsFamiliarity with building codes and accessibility standards (ADA compliance, fire exits, etc.)Exceptional attention to detail and ability to maintain focus on precise workSkills & AttributesExcellent visual-spatial reasoningConsistency and reliability in work qualitySelf-motivated with ability to work independentlyStrong communication skills for flagging issuesComfortable with feedback and iterative improvementMinimum 10 hours per week availability for at least 3 monthsNice-to-HavesPreferred BackgroundFormal education in architecture or related field (any level)Experience with commercial/corporate office designFamiliarity with MEP systems (mechanical, electrical, plumbing)Understanding of structural systems and load-bearing elementsTechnical ExperienceCAD software proficiency (AutoCAD, Revit, ArchiCAD, SketchUp)Experience with vector graphics or image editing toolsPrior data annotation or labeling experienceExposure to machine learning or computer vision conceptsGIS or spatial data analysis experienceWork StylePattern recognition skills - quickly identifying repeated elementsSystematic, methodical approach to reviewing workProblem-solving mindset for handling ambiguous casesInterest in AI/ML applications in architecturePrevious remote work experienceWhat Makes Someone Successful in This RoleYou're highly detail-oriented - You notice when walls don't align or when accessibility features are missing. Small inconsistencies don't escape your attention.You understand spatial relationships - You can mentally visualize 3D spaces from 2D drawings and understand why buildings are organized the way they are.You're consistent - You find satisfaction in doing precise work to a high standard and take pride in quality craftsmanship.You're a clear communicator - You flag problems early, ask clarifying questions, and aren't afraid to say "I'm not sure about this element."You're curious about technology - You're genuinely interested in how AI learns from annotated data and see value in the intersection of architecture and machine learning.