IDP OCR Engineer

Raval West; United States; Presencial; USD 90 000 - 130 000; Tempo integral

Resumo da oferta

Raval West is seeking an Intelligent Document Processing - OCR Engineer with 3+ years of experience to improve document extraction across 20 document types and template variations, ensuring reliable results from scans, phone photos, and compressed PDFs.

You will build and maintain Python-based OCR pipelines, implement image-quality checks, and collaborate with the forensics engineer to reduce false fraud flags while measuring extraction accuracy by document type.

Qualificações

• 3+ years building or operating production document-processing or OCR systems.
• Hands-on experience with Tesseract, PaddleOCR, Google Document AI, or similar OCR tools.
• Strong Python skills and image preprocessing experience.
• Experience handling inconsistent inputs and testing extraction accuracy.
• Bachelor’s or Master’s degree in CS/Engineering or equivalent.

Responsabilidades

• Build and maintain Python-based OCR and extraction pipelines.
• Implement image-quality checks for blur, glare, skew, and compression.
• Collaborate with forensics engineer to reduce false fraud flags.
• Measure extraction accuracy by document type and calibrate confidence scores.
• Automate regression testing for every change.
• Create user guidance for submitting replacement documents.

Conhecimentos

OCR systems

Python

Tesseract

PaddleOCR

Google Document AI

Image preprocessing

Deskewing

Denoising

Contrast adjustment

Layout-aware models

Key-value extraction

Formação académica

Bachelor’s or Master’s in CS/Engineering

Ferramentas

OCR tool stack

Descrição da oferta de emprego

Seeking an Intelligent Document Processing - OCR Engineer with 3+ years of experience to improve document extraction across 20 document types and template variations, ensuring reliable results from scans, phone photos, and compressed PDFs.

Responsibilities

• Build and maintain Python-based OCR and extraction pipelines using queue-based or batch processing.
• Implement image-quality checks for blur, glare, skew, resolution, and compression to route documents for processing, resubmission, or review.
• Collaborate with the forensics engineer to distinguish poor image quality from document alteration and reduce false fraud flags.
• Measure extraction accuracy by document type, calibrate field-level confidence scores against actual error rates, and automate regression testing for every change.
• Help create clear guidance for users submitting replacement documents.

Qualifications

• 3+ years building or operating production document-processing or OCR systems.
• Hands-on experience with Tesseract, PaddleOCR, Google Document AI, or similar OCR tools.
• Strong Python skills and experience with image preprocessing, including deskewing, denoising, and contrast adjustment.
• Experience processing inconsistent inputs and testing extraction accuracy.
• Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent practical experience.
• Experience with layout-aware models, key-value extraction, image-quality assessment, or eligibility, financial, insurance, or identity documents preferred. Government or regulated-environment experience is a plus.