1

Ai Ocr Jobs (NOW HIRING)

AI Architect (.NET & Azure)

New York, NY

$69.50 - $90.50/hr

OCR systems for document ingestion and classification * AI Governance & Token Economics Role Summary As an AI Architect & .NET developer , you will be responsible for designing and governing ...

Document AI / OCR pipelines and modernization of legacy enterprise workflows. * Production observability (CloudWatch, OpenTelemetry, Grafana) and incident-response experience. * Supply-chain ...

Experience with healthcare technology, EHR systems, AI, OCR, or LLMs is helpful. * Ability to securely maintain access to protected healthcare information and follow HIPAA guidelines. Compensation

Experience with healthcare technology, EHR systems, AI, OCR, or LLMs is helpful. * Ability to securely maintain access to protected healthcare information and follow HIPAA guidelines. Compensation

Software Engineer

Daytona Beach, FL · On-site

$60K - $100K/yr

Experience with healthcare technology, EHR systems, AI, OCR, or LLMs is helpful. * Ability to securely maintain access to protected healthcare information and follow HIPAA guidelines. Compensation

Role Overview The VP of AI Innovation - OCR/Image Recognition, will lead innovation, development, and execution of next generation AI-driven OCR and Image Recognition capabilities. This role will ...

Manages proof-of-concept (PoC) testing for emerging external AI, OCR, and classification engines before full-scale integration 3. Predictive Analytics & Client Reporting Engine * Builds KPI ...

Experience evaluating document AI / OCR pipelines and their specific failure modes: layout and table extraction, multi-page documents, scanned or low-quality source material. * Experience running ...

next page

Showing results 1-20

Ai Ocr information

What is an AI OCR specialist?

An AI OCR (Optical Character Recognition) specialist is a professional who develops, implements, or manages systems that use artificial intelligence to recognize and extract text from images or scanned documents. These specialists work with machine learning models and OCR software to improve the accuracy and efficiency of digitizing printed or handwritten materials. Their work is essential for automating data entry, document processing, and enabling searchable digital archives in various industries.

What are the key skills and qualifications needed to thrive as an AI OCR specialist?

To thrive as an AI OCR Specialist, you need a solid background in computer science, machine learning, and image processing, often supported by a relevant degree or certifications. Familiarity with programming languages (such as Python), OCR libraries (like Tesseract or Google Vision), and deployment platforms is essential. Strong analytical skills, attention to detail, and effective communication help you interpret results and collaborate across teams. These skills ensure accurate text extraction, efficient workflow integration, and successful AI-driven document processing solutions.

What are some typical challenges faced by professionals working in AI OCR roles, and how can they be addressed?

Professionals in AI OCR (Optical Character Recognition) roles often encounter challenges such as handling poor-quality or complex documents, dealing with handwritten or non-standard fonts, and ensuring high accuracy across multiple languages. Overcoming these challenges typically involves collaborating closely with data scientists, software engineers, and product teams to improve data preprocessing, model training, and validation processes. Keeping up with the latest advancements in machine learning and OCR technologies also helps in implementing more robust solutions. Regularly reviewing errors and iterating on AI models are essential practices to maintain and enhance the system's performance.

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

AspectAi OcrData Entry Specialist
Required CredentialsBasic technical knowledge, sometimes certifications in AI or OCR toolsHigh school diploma or equivalent, data management skills
Work EnvironmentMostly digital, software-based tasks, often remoteOffice or remote, handling physical or digital data
Employer & Industry UsageTech companies, document processing firms, automation industriesAdministrative, finance, healthcare, and various sectors
Search & Comparison IntentUnderstanding automation tools, OCR technologyManual data input, accuracy, and efficiency

Ai Ocr involves using artificial intelligence to automatically recognize and extract data from images or scanned documents, streamlining data processing. Data Entry Specialists manually input data into systems, focusing on accuracy and speed. While Ai Ocr automates data extraction, Data Entry Specialists handle tasks requiring human oversight and validation.

More about Ai Ocr jobs

What cities are hiring for Ai Ocr jobs?

Cities with the most Ai Ocr job openings:

What states have the most Ai Ocr jobs?

States with the most job openings for Ai Ocr jobs include:

Infographic showing various Ai Ocr job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Information Technology_USA - USA_Developer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 15 days ago


Job description

ALL CAPS, NO SPACES B/T UNDERSCORES PTN_US_GBAMSREQID_
Candidate BeelineID i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Thomas Hodges
Targeted - hr
REQUIREMENT_CITY - Chicago
REQUIREMENT_ID-10780297
Role Name - Azure Document Intelligence Developer
ROLE_DESCRIPTION -
Role Descriptions: 10+ Years of Experience with Handson Experience in Python and Azure Document Intelligence AI / OCR Engineers (ACU) Technical SkillsAzure Content Understanding / OCR toolsSchema design for document extraction (JSON-based)Prompt-based extraction (LLM-driven fields)Document classification and routing logicPython (for integration and processing)
Essential Skills: 10+ Years of Experience with Handson Experience in Python and Azure Document Intelligence AI / OCR Engineers (ACU) Technical SkillsAzure Content Understanding / OCR toolsSchema design for document extraction (JSON-based)Prompt-based extraction (LLM-driven fields)Document classification and routing logicPython (for integration and processing)
Skills: Digital : Microsoft Azure~Digital : Python
Experience Required: 10 & Above, Project Code :