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Ocr Solutions Jobs (NOW HIRING)

Fynbosys Inc

AEM Architect

Pleasanton, CA · On-site

$70 - $92.25/hr

Hi Role :AEM Lead Developer / Solution Architect Location: Pleasanton, CA (Hybrid) Only local ... ML, OCR, search, and downstream applications through APIs. * Candidates should have strong ...

247Hire

Senior Solutions Architect

Burbank, CA · On-site

$130 - $170/hr

Overview Seeking a senior solutions architect with strong solution engineering background to lead ... OCR/NLP; vector databases/search; microservices; IaC (Terraform); containers/Kubernetes; CI/CD ...

Pendulum Intelligence, Inc.

Solutions Engineer

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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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.

Agentic AI Lead Engineer with OCR experience - W2 Role

Saransh Inc

Woodland Hills, CA • On-site

$108K - $142K/yr

Contractor

Re-posted 4 days ago

Job description

Job Title: Agentic AI Lead Engineer with OCR pipeline building experience
Location(s): Woodland Hills, CA / Atlanta, GA / Richmond, VA (Onsite from Day 1)
Job Type: Contract (W2)
 
Note: Need Profiles with OCR pipeline building experience
 
Skill Metrix:
Name
Required
GCP
Yes
Vector Databases
Yes
Large Language Model (LLM)
Yes
TypeScript
Yes
LLMs - Open Sources
Yes
Azure
Yes
AWS Cloud
Yes
Python
Yes
AI
Yes
Javascript
Yes

Top Skills:
• Strong programming experience in Python (required); familiarity with JavaScript/TypeScript is a plus
• Hands-on experience with LLMs, Generative AI, and agent frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI or similar)
• Experience building workflow automation solutions using APIs, event-driven systems, and microservices
Role Summary:
  • The Agentic AI Engineer is responsible for designing, building, and operationalizing agentic AI–driven automation solutions that autonomously plan, reason, and execute complex enterprise workflows.
  • This role focuses on leveraging multi-agent architectures, LLMs, orchestration frameworks, and enterprise integrations to automate business and IT processes with minimal human intervention, while ensuring security, governance, and Responsible AI compliance.
  • The engineer will work closely with enterprise architects, domain experts, platform teams, and business stakeholders to transform manual or rule-based workflows into intelligent, adaptive, agent-driven systems that deliver measurable business outcomes
Required Qualifications:
Technical Skills
• Knowledge of vector databases, knowledge graphs, and retrieval-augmented generation (RAG) patterns Familiarity with cloud platforms (Azure/AWS/GCP), containers, and infrastructure-as-code
Conceptual & Enterprise Skills
• Strong understanding of agentic AI concepts: autonomy, planning, reasoning, action, learning, and reflection.
• Experience translating business processes into automated, AI-driven workflows.
• Awareness of Responsible AI, security, and governance considerations in enterprise environments.
Preferred Qualifications:
• Experience implementing multi-agent orchestration in production environments.
• Background in enterprise platforms such as ERP, CRM, ServiceNow, or supply chain systems.
• Exposure to industry-specific agentic AI use cases (e.g., IT operations, SDLC automation, supply chain, customer service).
• Experience collaborating with architects, program leads, and domain experts in large-scale transformations.