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Ocr Solutions Jobs (NOW HIRING)

ADDSOURCE

Sr Lead Engineer - I_Azure

Irving, TX · On-site

Irving, TX We are seeking a Senior Azure AI Document Intelligence Engineer responsible for designing, training, and optimizing AI-powered contract and invoice OCR solutions using Azure AI Document ...

Pulse Software Corp

Solutions Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

Low-latency OCR models for targeted extraction * Advanced reading-order algorithms for complex ... You will lead solution discovery and design, run technical evaluations and proofs-of-concept, and ...

IBML

Software Solutions Engineer

Birmingham, AL · On-site

The Software Solutions Engineer will work directly with prospects and customers to understand ... OCR and AI-based data extraction * Classification and document understanding * Validation workflows

IBML

Software Solutions Engineer

Birmingham, AL · On-site

The Software Solutions Engineer will work directly with prospects and customers to understand ... OCR and AI-based data extraction * Classification and document understanding * Validation workflows

Circana

VP II, AI Innovation - OCR (Level 21)

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Circana is a leading provider of technology, AI, and data solutions for consumer-packaged goods ... Role Overview The VP of AI Innovation - OCR/Image Recognition, will lead innovation, development ...

Pendulum Intelligence, Inc.

Solutions Engineer

  • Medical

  • Retirement

  • PTO

Our platform leverages advanced ML for logo, product, and facial recognition, OCR, sentiment ... Configure solutions that illustrate how clients can track sentiment shifts, * Identify influencers ...

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Ocr Solutions information

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$17

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$84

How much do ocr solutions jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ocr solutions in the United States is $56.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $67.31 per hour, depending on experience, location, and employer.

What are OCR solutions?

OCR Solutions refers to technologies and software systems that use Optical Character Recognition (OCR) to convert different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. These solutions automate data extraction from physical documents, improving efficiency and accuracy in data entry processes. OCR Solutions are widely used in industries like banking, healthcare, and logistics for digitizing records and streamlining workflows.

What are some common challenges faced by professionals working with OCR solutions, and how can they be addressed?

Professionals working with OCR (Optical Character Recognition) solutions often encounter challenges such as poor image quality, complex document layouts, and varying fonts or handwriting styles, which can affect the accuracy of text extraction. These issues can be mitigated by implementing pre-processing steps like image enhancement, noise reduction, and layout analysis. Additionally, continuous training of OCR models and close collaboration with cross-functional teams—such as IT, data analysts, and end-users—help improve system performance and adapt to evolving document types.

What are the key skills and qualifications needed to thrive as an OCR solutions specialist, and why are they important?

To thrive as an OCR Solutions Specialist, you need strong analytical skills, proficiency in image processing, and a background in computer science or related fields. Familiarity with OCR software (such as ABBYY, Tesseract, or Adobe OCR), programming languages like Python, and experience with machine learning frameworks are typically required. Outstanding problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and address client needs. These skills and qualities are crucial for accurately extracting and processing data from documents, optimizing workflows, and ensuring reliable automation solutions.

What is the difference between Ocr Solutions vs Data Entry Specialist?

AspectOcr SolutionsData Entry Specialist
Required CredentialsBasic technical skills, familiarity with OCR softwareHigh school diploma, typing speed, accuracy
Work EnvironmentOffice or remote, using software toolsOffice setting, data input tasks
Industry UsageDocument processing, automation projectsData management, administrative support
Search/Comparison IntentAutomation, OCR technologyManual data entry, clerical work

Ocr Solutions focus on automating data extraction using OCR technology, requiring technical skills and software familiarity. Data Entry Specialists perform manual input tasks, emphasizing accuracy and speed. While both roles handle data, Ocr Solutions are more tech-driven, whereas Data Entry Specialists rely on manual effort.

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Ocr Solutions jobs near you
Infographic showing various Ocr Solutions job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,888 per year, or $56.7 per hour.

Senior Azure AI Document Intelligence Engineer-Local to Texas

E-Solutions INC

Irving, TX • On-site

$100K - $137K/yr

Contractor

Posted 6 days ago

Job description

 
 
Senior Azure AI Document Intelligence Engineer

Experience: 10+ Years


Location: Irving, TX – Hybrid (3 days onsite)


NOTE: Candidates has to go for Inperson Interview for the Client Round

Key Responsibilities
  • Design, train, and optimize AI-powered invoice and contract OCR solutions targeting 98–99%+ extraction accuracy.
  • Analyze documents across suppliers, countries, languages, formats, and scan qualities; define document taxonomy and extraction schemas.
  • Work with Azure AI Document Intelligence prebuilt, custom neural, template, classification, and composed models.
  • Build and maintain custom document classification and extraction models, including labeled/versioned datasets.
  • Implement document preprocessing for rotation, skew, noise, resolution, and page separation.
  • Develop confidence scoring, validation rules, and human-in-the-loop review workflows.
  • Validate critical fields such as totals, taxes, currencies, dates, PO/supplier matching, duplicates, and cross-field consistency.
  • Build automated evaluation pipelines using accuracy, precision, recall, F1, false-positive/negative rates.
  • Perform error analysis, model monitoring, drift detection, retraining, and model versioning.
  • Collaborate with Procurement, Supply Chain, AP, Legal, and Engineering teams.
Mandatory Skills
  • 4+ years in ML, OCR, Computer Vision, NLP, or Intelligent Document Processing.
  • Hands-on Azure AI Document Intelligence or similar enterprise IDP platform.
  • Strong Python, SQL, REST APIs, JSON, Azure SDKs, and asynchronous processing.
  • Experience with document classification, field extraction, tables, and variable-length line items.
  • Strong understanding of accuracy, precision, recall, F1, confidence calibration, and test-set design.
  • Experience with invoices, contracts, POs, or supply-chain documents.
Preferred Skills
  • Azure Machine Learning, MLflow, Azure AI Search, Azure OpenAI / GenAI, Databricks.
  • Multilingual document processing and contract/legal clause extraction.
  • ERP/procurement systems: SAP, Oracle, Dynamics 365, Coupa, Ariba.
  • Active learning, model-drift monitoring, human-in-the-loop, privacy, and document retention.

Senior Azure AI Document Intelligence Engineer-Local to Texas1NLP,OCR,ML,computer vision,Azure AI Document IntelligenceN/AC2CUnited States