Architecture & Design QA Lead

Job Summary

The Architecture & Design Quality Assurance Lead oversees quality consistency, spatial logic modeling, documentation engineering, and remote expert trainer performance across all built-environment AI projects. Core responsibilities include auditing AI-generated design concepts, managing distributed trainer pipelines via Discord, writing clear style guides and calibration tasks, and flagging safety or code violations.

Qualification

Educational Level & Professional Pedigree

• Required Foundation: A formal Bachelor’s, Master’s, or equivalent professional degree in Architecture, Interior Design, Urban Design, Landscape Architecture, Environmental Design, Industrial Design, or Urban Planning.

Experience

Candidates must demonstrate a strong balance of practical built-environment execution, spatial critique proficiency, and technical team leadership:

Built-Environment Core Domain Expertise

• Professional Tenure: Minimum of 3+ years of verified professional experience operating within architecture, urban design, space planning, design research, construction documentation compilation, or architectural academic instruction.
• Spatial System Fluency: A deep, structural understanding of core design principles, spatial organization, pedestrian circulation dynamics, scale and proportion metrics, materiality values, accessibility standards (e.g., ADA), sustainability frameworks, construction logic, and building systems.
• Rubric Evaluation Capacity: Proven ability to evaluate detailed design explanations against rigorous rubrics, confidently isolating defects such as non-functional floor plans, weak structural rationales, accessibility gaps, code-insensitive suggestions, or unsafe engineering assumptions.
• Technical Design Tool Literacy: Familiarity with the operational frameworks of industry-standard design tooling or methodologies—such as AutoCAD, Revit, Rhino, SketchUp, Adobe Creative Suite, BIM systems, precedent analysis models, or rendering environments—is highly preferred.

Remote Team Operations & Quality Management

• Team Governance: Demonstrated experience leading, managing, or mentoring remote teams of designers, peer reviewers, content annotators, or visual quality control specialists is strongly preferred.
• Asynchronous Tool Proficiency: Complete comfort working inside fast-moving, distributed ecosystems utilizing Discord, Google Workspace (Docs, Sheets, Trackers), interactive dashboards, and agile project management tracking architectures.
• Documentation Rigor: Outstanding organizational capability with a history of maintaining structured internal assets such as style guides, localized FAQs, calibration tasks, calibration honeypots, and onboarding manuals.
• AI Training Exposure: Prior experience working within AI data training environments, prompt tuning data curation, data annotation, LLM evaluation, or rubric-based peer review systems is considered a major operational advantage.

Key Responsibilities

1. Advanced Architectural Review & Quality Monitoring (35%)

• Audit Spatial AI Data: Evaluate AI-generated spatial layouts, design reasoning statements, material specifications, and structural concepts for accuracy and real-world viability.
• Spot-Check Technical Content: Run regular spot-checks across built-environment datasets to identify logic errors, formatting defects, and deviations from project guidelines.
• Perform Risk Reviews: Actively flag unsafe, inaccessible, code-insensitive, or structurally unrealistic recommendations generated by the model or annotators.
• Deliver Precise Feedback: Provide clear, structured written feedback through direct communication channels to resolve individual errors and elevate overall team performance.

2. Distributed Team Leadership & Activation Management (25%)

• Govern Communication Hubs: Lead dedicated project communication spaces on Discord, updating trainers and QA specialists on new guidelines, client calibration pivots, and architectural review metrics.
• Resolve Technical Queries: Act as the primary point of contact for complex questions regarding spatial logic, material properties, construction feasibility, and rubric interpretation.
• Manage Network Activation: Monitor contractor activity logs, proactively re-engaging inactive or inconsistent contributors via direct outreach to maintain steady data production.
• Onboard Global Experts: Schedule and run onboarding calls and training webinars to align incoming remote architects and designers with project-specific workflows and rubrics.

3. Documentation Engineering & Process Calibration (25%)

• Create Governance Assets: Author and maintain crucial project documentation, including master style guides, technical FAQs, performance trackers, and visual quality examples.
• Build Calibration Modules: Design specialized benchmarking tasks and intentional baseline challenges ("honeypots") to test and align reviewer accuracy across the network.
• Standardize Quality Metrics: Audit grading behavior across different reviewers to ensure guidelines are applied uniformly as the underlying AI model scales.

4. Process Optimization & Client Strategy (15%)

• Identify Quality Gaps: Analyze recurring data failures and model hallucinations, turning those insights into structured workflow adjustments.
• Scale QA Infrastructure: Propose and test scalable QA mechanics to simplify data validation for increasingly complex, multi-modal architectural datasets.
• Provide Strategic Alignment: Ensure all processed datasets meet the quality standards and context-aware expectations of elite AI foundation labs.

Expected Outputs & Deliverables

• Up-to-date, legally and structurally defensible project style guides, technical FAQs, and alignment documentation.
• Structured calibration modules, benchmark challenges, and onboarding assets for remote annotators.
• Descriptive data audit summaries, error-tracking matrices, and risk assessment logs highlighting spatial reasoning or code safety issues.
• Weekly network performance reports tracking contributor accuracy, response times, and active deployment volumes.

Skills Required:

• Architecture / Urban / Planning