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Optical Character Recognition Jobs (NOW HIRING)

Data Analyst

MD · On-site

Strong analytical and programming skills (Python/Pyspark, SQL, etc.) to parse, analyze, visualize, etc. large datasets • Experience with optical character recognition (OCR) technology and ...

Use Optical Character Recognition (OCR) software to verify and process insurance documents. * Collaborate with agents, vendors, property managers, customer service representatives and account ...

Document Processor

Tualatin, OR · On-site +1

$21 - $23/hr

Use Optical Character Recognition (OCR) software to verify and process insurance documents. * Collaborate with agents, vendors, property managers, customer service representatives and account ...

Document Processor

Tualatin, OR · On-site

$21 - $23/hr

Use Optical Character Recognition (OCR) software to verify and process insurance documents. * Collaborate with agents, vendors, property managers, customer service representatives and account ...

Use Optical Character Recognition (OCR) software to verify and process insurance documents. * Collaborate with agents, vendors, property managers, customer service representatives and account ...

Primary responsibilities will involve developing configurations and features for processing Safety of Navigation (SoN) data through an Optical Character Recognition (OCR), Machine Learning (ML ...

Primary responsibilities will involve developing configurations and features for processing Safety of Navigation (SoN) data through an Optical Character Recognition (OCR), Machine Learning (ML ...

Accounts Payable Specialist

North Las Vegas, NV · On-site

$20.25 - $26/hr

Scan invoices into the electronic optical character recognition system; * Participate in group work tasks and assist other clerks with their assigned tasks when necessary; * Assist in month end ...

Job Page

Phoenix, AZ · On-site

$33K/yr

The transfer of data happens manually or using AHCCCS Optical Character Recognition (OCR) claim system. They type and verify all claim information as submitted by the provider to ensure timely claim ...

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Optical Character Recognition information

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$12

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How much do optical character recognition jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for optical character recognition in the United States is $17.58, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.99 per hour, depending on experience, location, and employer.

Does AI replace OCR?

AI enhances Optical Character Recognition (OCR) by improving accuracy and processing speed through machine learning algorithms. While AI can automate and optimize OCR tasks, human oversight and specialized skills remain important for complex or high-accuracy requirements.

What are the typical responsibilities and challenges of working in an Optical Character Recognition (OCR) role?

In an OCR role, you will typically be responsible for designing, implementing, and optimizing systems that extract text from scanned documents or images. A key challenge involves ensuring high accuracy rates, especially when dealing with low-quality images, diverse fonts, or handwritten text. You may collaborate with data scientists, software engineers, and business analysts to refine workflows and implement feedback. Staying updated with the latest OCR algorithms and practices is essential for maintaining system performance and offering innovative solutions. This position requires adaptability, as project requirements and technologies frequently evolve.

Is image processing a good career?

Optical Character Recognition (OCR) specialists work with image processing to convert images of text into editable digital formats, often using tools like machine learning algorithms and image analysis software. Careers in image processing are growing due to increased demand in automation, document digitization, and AI applications, offering opportunities in technology and research fields. Developing skills in programming, computer vision, and relevant certifications can enhance job prospects in this area.

What are the key skills and qualifications needed to thrive in the Optical Character Recognition position, and why are they important?

To excel in an Optical Character Recognition (OCR) role, you need strong analytical skills and familiarity with computer vision concepts, typically supported by a degree in computer science, information technology, or a related field. Proficiency in OCR software (such as Tesseract, ABBYY, or Google Vision API), programming languages like Python, and experience with machine learning frameworks is often required. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for successful collaboration and troubleshooting. These competencies are vital to ensure accurate data extraction, integration with existing systems, and effective team collaboration on complex OCR projects.

What is an OCR job?

An OCR (Optical Character Recognition) job involves developing, implementing, or maintaining systems that convert scanned images or printed text into editable digital formats. It often requires knowledge of image processing, programming skills, and familiarity with OCR software tools. These roles can be found in data entry, document management, and automation environments.

What is an Optical Character Recognition job?

An Optical Character Recognition (OCR) job involves developing, implementing, or optimizing technology that converts different types of documents—such as scanned paper documents, PDFs, or images—into machine-readable text. OCR professionals work with artificial intelligence, machine learning, and image processing techniques to improve text recognition accuracy. They may also refine OCR algorithms, preprocess images, and integrate OCR solutions into business applications. This role is commonly found in industries like finance, healthcare, and legal services, where document digitization is essential. Skills in programming, pattern recognition, and data processing are often required for OCR-related roles.

Is OCR part of LLM?

Optical Character Recognition (OCR) is a technology used to convert images of text into machine-readable data and is not inherently part of large language models (LLMs). However, OCR outputs can be processed by LLMs for tasks like text analysis or understanding, making them complementary tools in many AI workflows. OCR specialists may need skills in image processing and programming, while LLMs focus on natural language understanding.
More about Optical Character Recognition jobs
What cities are hiring for Optical Character Recognition jobs? Cities with the most Optical Character Recognition job openings:
What are the most commonly searched types of Optical Character Recognition jobs? The most popular types of Optical Character Recognition jobs are:
What states have the most Optical Character Recognition jobs? States with the most job openings for Optical Character Recognition jobs include:
Infographic showing various Optical Character Recognition job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Temporary. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $36,574 per year, or $17.6 per hour.

Data Analyst

IFAS LLC

MD • On-site

Full-time

Re-posted 6 days ago


Job description

Support the Department of the Air Force (DAF) in building and operationalizing an integrated financial automation capability that connects Financial Management (FM) data sources, automates key workflows, and enables repeatable analytics/AI-enabled use cases to eliminate redundant data analysis, provide cost savings, and accelerate audit-ready timelines.

Skills:

Strong analytical and programming skills (Python/Pyspark, SQL, etc.) to parse, analyze, visualize, etc. large datasets

•Experience with optical character recognition (OCR) technology and implementation

•Knowledge of AI/ML concepts including GenAI and Agentic AI

•Experience interacting with and utilizing large language models (LLMs) in an operational environment

•Familiarity with cloud-based platforms/tools (e.g., Databricks, Palantir, Power Platform)

•Strong communication, stakeholder management, and presentation

Required qualifications:

•Active/Interim Secret clearance

•Bachelor's Degree or 4 years of relevant experience

Additional desired skillsets:

•MS Power Application Automation