AI Based Engineering Drawing Interpretation
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
Computer Vision / Document AI Engineer
· Level: Mid–Senior
About the role Reading engineering drawings is the hardest and most valuable problem You'll build the systems that parse dense, non-standard, often-scanned technical drawings — extracting geometry, symbols, dimensions, legends, and annotations that feed the scheduling engine.
Responsibilities
Build CV and document-understanding pipelines for engineering drawings (CAD exports, PDFs, scans)
Develop OCR, symbol/legend recognition, line and dimension detection, and layout parsing
Handle multi-page, multi-discipline drawing sets with inconsistent standards
Create labeled datasets and continuously improve extraction accuracy
Partner with the AI/ML engineer to hand off clean structured data downstream
Requirements
4+ years in computer vision or document AI
Strong experience with OCR, object/symbol detection, and document layout analysis
Proficiency in Python and modern CV/ML frameworks (e.g., PyTorch)
Experience with technical or engineering documents, or similarly dense/structured imagery
Comfort building data pipelines and annotation workflows
· Level: Mid–Senior
About the role Reading engineering drawings is the hardest and most valuable problem You'll build the systems that parse dense, non-standard, often-scanned technical drawings — extracting geometry, symbols, dimensions, legends, and annotations that feed the scheduling engine.
Responsibilities
Build CV and document-understanding pipelines for engineering drawings (CAD exports, PDFs, scans)
Develop OCR, symbol/legend recognition, line and dimension detection, and layout parsing
Handle multi-page, multi-discipline drawing sets with inconsistent standards
Create labeled datasets and continuously improve extraction accuracy
Partner with the AI/ML engineer to hand off clean structured data downstream
Requirements
4+ years in computer vision or document AI
Strong experience with OCR, object/symbol detection, and document layout analysis
Proficiency in Python and modern CV/ML frameworks (e.g., PyTorch)
Experience with technical or engineering documents, or similarly dense/structured imagery
Comfort building data pipelines and annotation workflows
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