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Ocr Solutions Jobs (NOW HIRING)

Stock Group Analytics

$140 - $180/hr

Implement Natural Language Processing (NLP) and Intelligent OCR solutions for unstructured data * Research emerging AI tools and techniques and recommend those that improve efficiency * Ensure AI ...

Zachary Piper Solutions

$146 - $158/hr

Develop scalable, high-throughput data processing solutions using Python. * Implement OCR and document extraction capabilities using tools such as AWS Textract, Tesseract, or similar technologies.

University of Rochester

$61 - $85/hr

This role, working with OCR team members, will serve as a "communications hub" to facilitate ... Participates in testing newly developed applications, integrations, systems, solutions, and ...

University of Rochester

$61K - $85K/yr

... new solutions and participating on projects to upgrade components or whole systems. Follows ... This role, working with OCR team members, will serve as a "communications hub" to facilitate ...

Imaging Business Machines, LLC.

$90 - $140/hr

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

Tech Mahindra

EDMS Project Manager

Dallas, TX · On-site

$120 - $130/hr

Enterprise Search, Capture/OCR Solutions The pay range for this role is $120,000-$130,000 per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision ...

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$84

How much do ocr solutions jobs pay per hour?

As of Sep 6, 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 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $117,888 per year, or $56.7 per hour.

Artificial Intelligence Engineer

Stock Group Analytics

On-site

$140 - $180/hr

Other

Posted 4 days ago

Job description

Position Summary

AI Engineers are responsible for designing, developing, and deploying machine learning models and intelligent automation solutions aligned with Government’s mission needs. These individuals work on the full AI/ML lifecycle from use case identification and prototyping through production deployment and sustainment, ensuring solutions are ethical, secure, and compliant with federal AI guidelines.

Key Responsibilities
  • Design, develop, and sustain AI/ML models for predictive analytics, computer vision, NLP, and other use cases
  • Identify and evaluate high-impact AI/ML use cases in collaboration with Government stakeholders
  • Execute rapid pilot projects in short sprints to demonstrate business value
  • Develop and deploy intelligent automation workflows integrating AI capabilities with RPA
  • Build and fine-tune Generative AI solutions including chatbots and copilot assistants
  • Implement Natural Language Processing (NLP) and Intelligent OCR solutions for unstructured data
  • Research emerging AI tools and techniques and recommend those that improve efficiency
  • Ensure AI outputs are interpretable and bias-mitigated in compliance with federal AI guidelines
  • Embed Responsible AI principles (transparency, fairness, explainability) in all deployments
  • Support establishment of AI Governance Framework and AI Governance Board
  • Integrate AI models into production systems with appropriate monitoring and logging
  • Document AI model architectures, training data, and performance metrics
Required Qualifications
  • Education: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or related field (Master's or Ph.D. preferred)
  • Experience: 5+ years of hands-on experience in AI/ML solutions development
  • Technical Skills:
    • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
    • Experience with cloud AI platforms (Azure Machine Learning, Azure OpenAI, AWS SageMaker)
    • Knowledge of NLP techniques and tools (spaCy, Hugging Face, NLTK)
    • Experience with computer vision frameworks and OCR technologies
    • Understanding of MLOps practices for model deployment and monitoring
    • Familiarity with RPA platforms (UiPath, Power Automate) for intelligent automation
  • Other Requirements:
    • Strong software development skills
    • Understanding of ethical AI and Responsible AI principles
Preferred Qualifications
  • Experience deploying AI solutions in federal government environments
  • Familiarity with FedRAMP High authorized cloud platforms (Azure Government)
  • Experience with Microsoft Copilot technologies and Azure OpenAI Service
  • Knowledge of AI governance frameworks and federal AI guidelines
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