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We're hiring a Senior Data Engineer to own the quality control layer above our data annotation team. You'll sit at the intersection of data operations and AI model training — ensuring the accuracy and integrity of the structured data that powers Augrade's AI systems. This is a hands-on leadership role with direct impact on model performance.
Own the file submission and QC process for annotated construction data (CAD, BIM, MEP)
Review and validate outputs from junior annotators; enforce quality standards
Perform AutoCAD annotation and data labeling as needed (hands-on, not just oversight)
Collaborate with the CV/ML engineering team to close the gap between AI outputs (currently 80–90% accuracy) and production-ready data
Manage and mentor a team of data annotators; drive process improvements
Coordinate with engineering leads (Krish) before any major workflow or tooling decisions
7-12 years of experience in data engineering, BIM/CAD data operations, or a related field
Strong AutoCAD proficiency — this is the primary technical requirement
MEP (mechanical, electrical, plumbing) knowledge
BIM and construction industry background
Some leadership or project management experience — you've owned a process or team before
Experience at companies like AECOM, Bentley Systems, Jacobs, or WSP
Familiarity with AI/ML data pipelines and human-in-the-loop validation workflows
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Comfort working in a fast-paced, early-stage environment
AI-native platform automating construction design and cost estimation.
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Senior · 7+ years experience
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