{"schemaVersion":"jobsearcher.job.v1","id":"00de63e3825fb7fab7e4a565","url":"https://jobsearcher.com/jobs/00de63e3825fb7fab7e4a565","canonicalUrl":"https://jobsearcher.com/jobs/00de63e3825fb7fab7e4a565","title":"Intelligent Document Processing / OCR Engineer - Part Time","description":"Description:\n\nDesigns and implements the intelligent document-processing capabilities required to convert electronic records into reliable, structured, and traceable information. The Intelligent Document Processing / OCR Engineer assesses the document corpus and document quality; applies OCR, image preprocessing, and layout analysis where required; supports duplicate detection; develops document-classification and structured field-extraction methods; and establishes confidence scores, validation rules, exception-handling procedures, and human-review thresholds.\n\nThe Engineer configures and tunes OCR models, preprocessing techniques, classification methods, extraction schemas, confidence thresholds, and validation logic based on testing results and representative document samples. The position establishes measurable evaluation methods for OCR quality, classification accuracy, field-extraction accuracy, exception rates, and human-review requirements. Processing configurations, quality results, known limitations, and operating procedures are documented to support explainability, repeatability, troubleshooting, and knowledge transfer.\n\nThe Engineer works within the overall architecture established by the Microsoft Cloud Solution Architect / Technical Lead and coordinates closely with platform, data, security, quality assurance, AI search, and Government subject-matter personnel. The position also supports automated processing of newly added or modified documents so that files can be assessed, preprocessed, classified, extracted, validated, and routed for human review or downstream indexing with minimal manual intervention. The greatest level of effort is expected during corpus assessment, OCR and preprocessing configuration, classification and extraction development, validation-rule definition, quality testing, and document-processing automation.\n\nKey Responsibilities\n\nAssess document collections, formats, and quality to determine appropriate OCR and processing approaches.\nConfigure and tune OCR, image preprocessing, and layout-analysis capabilities for scanned, image-based, degraded, and digitally generated documents.\nDevelop document-classification methods, taxonomies, and associated processing rules.\nDevelop structured field-extraction schemas, metadata mappings, validation rules, and extraction logic.\nEstablish confidence scores, acceptance thresholds, exception criteria, and human-review requirements.\nDesign and support exception-handling and human-validation workflows for incomplete, ambiguous, or low-confidence processing results.\nSupport duplicate-detection and document-quality controls within the processing workflow.\nDevelop or support automated processing workflows for newly added or modified documents, including ingestion, classification, extraction, validation, and exception routing.\nDefine, measure, and tune OCR quality, classification accuracy, and field-extraction accuracy using representative document samples.\nDocument processing configurations, quality results, known limitations, validation procedures, and operating instructions to support testing, deployment, and knowledge transfer.\nRequirements:\nBachelor’s degree in computer science, data science, information systems, engineering, or a related technical discipline.\nFive years of relevant experience in document processing, data engineering, automation, machine learning, or a related technical field.\nAt least two years of hands-on experience with OCR, intelligent document processing, document classification, structured data extraction, or comparable technologies.\nExperience processing scanned, image-based, degraded, digitally generated, or mixed-format document collections.\nExperience developing document-classification, field-extraction, validation, or metadata-processing capabilities.\nExperience implementing confidence scoring, exception handling, validation rules, or human-in-the-loop review processes.\nExperience testing and evaluating OCR, classification, or extraction performance using defined quality measures.\nMust be a US Citizen and ability to obtain and maintain a Public Trust\n\nPreferred\n\nExperience with Azure AI Document Intelligence or comparable intelligent document-processing platforms.\nExperience automating document-processing workflows using APIs, scripts, Azure Functions, Logic Apps, Power Automate, or comparable technologies.\nExperience integrating document-processing capabilities with document repositories, databases, content-management systems, or cloud platforms.\nExperience supporting Federal Government, Government cloud, or other regulated environments.\n\nThis position is contingent upon contract award. HeiTech Services is proactively identifying qualified candidates in anticipation of a potential federal contract award. Qualified applicants may be contacted for prescreening and interviews prior to award. Employment is contingent upon successful contract award and completion of all required pre-employment and security requirements.\n\nHeiTech Services is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, or any other protected status under applicable law.\n\nIf you require a reasonable accommodation during the application process, please contact us at HR@HeiTechServices.com.\n\nHeiTech Services may utilize technology-assisted tools, including artificial intelligence, to support the review of application materials. These tools are used to enhance efficiency; however, all hiring decisions are made by human reviewers in accordance with federal hiring guidelines.","company":"Heitech Services","rawCompany":"heitech services","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-02T08:33:55.246Z","occupations":[{"code":"15-1299.03","title":"Document Management Specialists","slug":"document-management-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"43-9022.00","title":"Word Processors and Typists","slug":"word-processors-and-typists"}],"industries":[{"code":"561410","title":"Document Preparation Services","slug":"document-preparation-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Intelligent Document Processing / OCR Engineer - Part Time","description":"Description:\n\nDesigns and implements the intelligent document-processing capabilities required to convert electronic records into reliable, structured, and traceable information. The Intelligent Document Processing / OCR Engineer assesses the document corpus and document quality; applies OCR, image preprocessing, and layout analysis where required; supports duplicate detection; develops document-classification and structured field-extraction methods; and establishes confidence scores, validation rules, exception-handling procedures, and human-review thresholds.\n\nThe Engineer configures and tunes OCR models, preprocessing techniques, classification methods, extraction schemas, confidence thresholds, and validation logic based on testing results and representative document samples. The position establishes measurable evaluation methods for OCR quality, classification accuracy, field-extraction accuracy, exception rates, and human-review requirements. Processing configurations, quality results, known limitations, and operating procedures are documented to support explainability, repeatability, troubleshooting, and knowledge transfer.\n\nThe Engineer works within the overall architecture established by the Microsoft Cloud Solution Architect / Technical Lead and coordinates closely with platform, data, security, quality assurance, AI search, and Government subject-matter personnel. The position also supports automated processing of newly added or modified documents so that files can be assessed, preprocessed, classified, extracted, validated, and routed for human review or downstream indexing with minimal manual intervention. The greatest level of effort is expected during corpus assessment, OCR and preprocessing configuration, classification and extraction development, validation-rule definition, quality testing, and document-processing automation.\n\nKey Responsibilities\n\nAssess document collections, formats, and quality to determine appropriate OCR and processing approaches.\nConfigure and tune OCR, image preprocessing, and layout-analysis capabilities for scanned, image-based, degraded, and digitally generated documents.\nDevelop document-classification methods, taxonomies, and associated processing rules.\nDevelop structured field-extraction schemas, metadata mappings, validation rules, and extraction logic.\nEstablish confidence scores, acceptance thresholds, exception criteria, and human-review requirements.\nDesign and support exception-handling and human-validation workflows for incomplete, ambiguous, or low-confidence processing results.\nSupport duplicate-detection and document-quality controls within the processing workflow.\nDevelop or support automated processing workflows for newly added or modified documents, including ingestion, classification, extraction, validation, and exception routing.\nDefine, measure, and tune OCR quality, classification accuracy, and field-extraction accuracy using representative document samples.\nDocument processing configurations, quality results, known limitations, validation procedures, and operating instructions to support testing, deployment, and knowledge transfer.\nRequirements:\nBachelor’s degree in computer science, data science, information systems, engineering, or a related technical discipline.\nFive years of relevant experience in document processing, data engineering, automation, machine learning, or a related technical field.\nAt least two years of hands-on experience with OCR, intelligent document processing, document classification, structured data extraction, or comparable technologies.\nExperience processing scanned, image-based, degraded, digitally generated, or mixed-format document collections.\nExperience developing document-classification, field-extraction, validation, or metadata-processing capabilities.\nExperience implementing confidence scoring, exception handling, validation rules, or human-in-the-loop review processes.\nExperience testing and evaluating OCR, classification, or extraction performance using defined quality measures.\nMust be a US Citizen and ability to obtain and maintain a Public Trust\n\nPreferred\n\nExperience with Azure AI Document Intelligence or comparable intelligent document-processing platforms.\nExperience automating document-processing workflows using APIs, scripts, Azure Functions, Logic Apps, Power Automate, or comparable technologies.\nExperience integrating document-processing capabilities with document repositories, databases, content-management systems, or cloud platforms.\nExperience supporting Federal Government, Government cloud, or other regulated environments.\n\nThis position is contingent upon contract award. HeiTech Services is proactively identifying qualified candidates in anticipation of a potential federal contract award. Qualified applicants may be contacted for prescreening and interviews prior to award. Employment is contingent upon successful contract award and completion of all required pre-employment and security requirements.\n\nHeiTech Services is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, or any other protected status under applicable law.\n\nIf you require a reasonable accommodation during the application process, please contact us at HR@HeiTechServices.com.\n\nHeiTech Services may utilize technology-assisted tools, including artificial intelligence, to support the review of application materials. These tools are used to enhance efficiency; however, all hiring decisions are made by human reviewers in accordance with federal hiring guidelines.","datePosted":"2026-10-02T08:33:55.246Z","dateModified":"2026-10-02T08:33:55.246Z","hiringOrganization":{"@type":"Organization","name":"Heitech Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"00de63e3825fb7fab7e4a565"},"url":"https://jobsearcher.com/jobs/00de63e3825fb7fab7e4a565"}}