Intelligent Document Processing, OCR Engineer – Part Time

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HeiTech

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤖 Artificial Intelligence

📱 Media

☁️ SaaS

💰 Pre seed on 2022-04

Artificial Intelligence • Media • SaaS

HeiTech is an AI-driven media platform (branded in materials as Hei. io) that provides automated audio and video translation, realistic AI voiceover dubbing, captioning and subtitle generation, and voice cloning. The product offers support for 140+ languages, hundreds of natural-sounding voices, automated transcription and subtitle synchronization, and is targeted at content creators and companies looking to translate and localize audiovisual content quickly and affordably.

📋 Description

• Assess document collections, formats, and quality to determine appropriate OCR and processing approaches • Configure and tune OCR, image preprocessing, and layout-analysis capabilities • Develop document-classification methods, taxonomies, and processing rules • Develop structured field-extraction schemas, metadata mappings, validation rules, and extraction logic • Establish confidence scores, acceptance thresholds, exception criteria, and human-review requirements • Design and support exception-handling and human-validation workflows • Support duplicate detection and document-quality controls • Develop or support automated workflows for newly added or modified documents, including ingestion, classification, extraction, validation, and exception routing • Define, measure, and tune OCR quality, classification accuracy, and field-extraction accuracy • Document processing configurations, quality results, known limitations, validation procedures, and operating instructions • Coordinate with platform, data, security, quality assurance, AI search, and Government subject-matter personnel within the architecture established by the Microsoft Cloud Solution Architect / Technical Lead

🎯 Requirements

• Bachelor’s degree in computer science, data science, information systems, engineering, or a related technical discipline • Five years of relevant experience in document processing, data engineering, automation, machine learning, or a related technical field • At least two years of hands-on experience with OCR, intelligent document processing, document classification, structured data extraction, or comparable technologies • Experience processing scanned, image-based, degraded, digitally generated, or mixed-format document collections • Experience developing document-classification, field-extraction, validation, or metadata-processing capabilities • Experience implementing confidence scoring, exception handling, validation rules, or human-in-the-loop review processes • Experience testing and evaluating OCR, classification, or extraction performance using defined quality measures • Must be a US Citizen • Ability to obtain and maintain a Public Trust • Preferred: experience with Azure AI Document Intelligence or comparable intelligent document-processing platforms • Preferred: experience automating document-processing workflows using APIs, scripts, Azure Functions, Logic Apps, Power Automate, or comparable technologies • Preferred: experience integrating document-processing capabilities with document repositories, databases, content-management systems, or cloud platforms • Preferred: experience supporting Federal Government, Government cloud, or other regulated environments • Employment contingent upon successful contract award and completion of required pre-employment and security requirements

🏖️ Benefits

• Potential opportunity to support a federal contract • Reasonable accommodation during the application process • Equal Opportunity Employer