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Optical Character Recognition Jobs (NOW HIRING)

Outpatient, Inc.

Digital Marketing Coordinator

Danville, CA · On-site

$52K - $68K/yr

The system leverages advanced software technology, natural language processing (NLP), optical character recognition (OCR), and machine learning (ML) to connect, simplify and improve the logistics of ...

Outpatient, Inc

Business Marketing Manager

Danville, CA · On-site

The system leverages advanced software technology, natural language processing (NLP), optical character recognition (OCR), and machine learning (ML) to connect, simplify and improve the logistics of ...

Outpatient, Inc

Digital Marketing Coordinator

Diablo, CA · On-site

$53K - $69K/yr

The system leverages advanced software technology, natural language processing (NLP), optical character recognition (OCR), and machine learning (ML) to connect, simplify and improve the logistics of ...

KYYBA

Accounting Clerk

Fort Worth, TX · On-site

$19/hr

Review exception invoices routed through the exception tool to ensure optical character recognition accurately captures invoice details. Terminations: Responsible for the timely processing of ...

Corning

Machine Vision Engineer

Hickory, NC · On-site

... and optical character recognition (OCR), across automated production equipment. * Select, configure, and deploy vision hardware, including cameras, lighting systems, lenses, and frame grabbers ...

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Optical Character Recognition information

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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.
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Optical Character Recognition jobs near you
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.
Vision Engineer in Wixom, MI (Onsite)

Vision Engineer in Wixom, MI (Onsite)

InfiCare

Wixom, MI • On-site

Other

Posted 14 days ago

Job description

Job description:

Job title: Vision Engineer

Duration: 6+ months contract with possibility of extension

Location: Wixom, MI (Onsite)

Job Summary:

We are seeking an experienced Vision Engineer to join our team in Wixom, MI to support multiple high-priority automation projects.

The selected candidate will primarily work onsite in Wixom and will later travel to Toledo for system commissioning as required.

No travel or relocation expenses can be provided.

The ideal candidate will have strong hands-on experience with Keyence and Cognex machine vision systems and be capable of designing, developing, and implementing machine vision inspection applications for industrial automation.

Key Responsibilities:

Design, develop, and implement machine vision inspection systems based on customer specifications and project requirements.

Perform feasibility studies for machine vision applications.

Develop vision applications using Cognex EasyBuilder, Keyence, and related vision tools.

Configure and optimize machine vision systems for inspection, barcode reading, OCR, presence/absence detection, kitting verification, and model inspection.

Work with external lighting, filters, lenses, and GigE camera networks.

Support commissioning, testing, troubleshooting, and system optimization at customer sites.

Collaborate with engineering teams and communicate professionally with customers.

Travel to customer sites (primarily Toledo) as needed for commissioning and support.

Required Qualifications:

Associate's or Bachelor's degree in Computer Science, Mechatronics, Electrical Engineering, or a related engineering discipline (equivalent experience will also be considered).

3+ years of experience in Machine Vision Engineering.

Strong hands-on experience with:

Keyence Vision Systems

Cognex Vision Systems

Cognex EasyBuilder

Experience developing applications for:

Presence/Absence Inspection

Kitting Verification

Model Inspection

Barcode Reading

OCR (Optical Character Recognition)

Experience working with:

GigE Vision Networks

External Lighting, Filters, and Lenses

Ability to work independently as well as in a collaborative team environment.

Excellent communication and customer interaction skills.

Willingness to travel for commissioning activities.

Preferred Qualifications:

Experience with Matrox Design Assistant (DA) and template programming.

Experience with Allied Vision, Basler, GVI, and Smart Vision Lighting.

AIA Certification is a plus but not required.

Apply