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Intelligent Document Processing Jobs (NOW HIRING)

Docufree Corporation

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Document Processor-Alpharetta, GA

Alpharetta, GA · On-site

$15/hr

... process as a service provider specializing in cloud ... based intelligent document management, workflow and electronic signature applications for human ...

Machinify

Software Architect

Software Architect | Intelligent Document Processing & Agentic Systems Location: Remote - US About Machinify Machinify is a healthcare intelligence platform deployed across 85+ health plans, serving ...

2T Consulting

Kofax Developer

Atlanta, GA

Implement intelligent document processing solutions for classification, extraction, validation, and routing of documents. * Integrate Kofax platforms with enterprise applications such as ECM systems ...

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Intelligent Document Processing information

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How much do intelligent document processing jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for intelligent document processing in the United States is $20.63, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $24.52 per hour, depending on experience, location, and employer.

What are the main challenges faced by professionals working in Intelligent Document Processing, and how can they be addressed?

Professionals in Intelligent Document Processing (IDP) often encounter challenges such as handling diverse document formats, ensuring data accuracy, and integrating IDP solutions with existing systems. Managing unstructured data and constantly evolving document types requires strong analytical and technical skills. To overcome these challenges, it's important to stay current with the latest IDP software, collaborate closely with IT and business teams to define requirements, and continuously monitor and improve data extraction processes for accuracy and compliance.

What are the key skills and qualifications needed to thrive as an Intelligent Document Processing Specialist, and why are they important?

To thrive as an Intelligent Document Processing Specialist, you need a solid background in data analysis, document management, and familiarity with automation or AI-driven extraction tools, often supported by a degree in computer science or a related field. Expertise in technologies such as OCR (Optical Character Recognition), RPA (Robotic Process Automation), and platforms like UiPath or ABBYY is typically required, with certifications in these tools being advantageous. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for success in this role. These competencies ensure accurate data extraction, streamlined workflows, and successful collaboration across departments, ultimately driving operational efficiency.

What is the difference between Intelligent Document Processing vs Data Analyst?

AspectIntelligent Document ProcessingData Analyst
Required CredentialsTypically certifications in AI, OCR, or document managementDegree in statistics, mathematics, or related field
Work EnvironmentAutomation-focused, often in tech or finance sectorsData analysis, reporting, and visualization in various industries
Employer & Industry UsageUsed by companies automating document workflowsUsed by organizations analyzing data for insights

Intelligent Document Processing focuses on automating the extraction and management of data from documents using AI and OCR technologies. Data Analysts interpret and analyze data sets to provide business insights. While both roles involve data, Intelligent Document Processing emphasizes automation of document workflows, whereas Data Analysts focus on data interpretation and reporting.

What is Intelligent Document Processing?

Intelligent Document Processing (IDP) is a technology that uses artificial intelligence, machine learning, and optical character recognition (OCR) to automatically extract, classify, and process data from a wide variety of documents. This includes both structured forms and unstructured documents like emails, invoices, and contracts. IDP streamlines workflows by minimizing manual data entry, increasing accuracy, and accelerating the handling of large volumes of documents in industries such as finance, healthcare, and insurance.
Infographic showing various Intelligent Document Processing job openings in the United States as of June 2026, with employment types broken down into 3% Internship, 89% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $42,911 per year, or $20.6 per hour.

AI Process Automation Engineer

Aldridge Pite Haan, LLP

Woodstock, GA

Full-time

Posted 2 days ago

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Job description

About the Role

We are seeking an AI Process Automation Engineer to design and implement intelligent automation solutions within a creditors’ rights legal practice. This role combines artificial intelligence, process engineering, and legal domain expertise to transform high-volume, document-intensive workflows into scalable, accurate, and compliant automated systems. You will work closely with attorneys, paralegals, and operations leaders to reduce manual effort, accelerate case throughput, and maintain strict regulatory compliance.

Responsibilities
  • Map and analyze end-to-end creditors’ rights workflows — from placement intake and demand letter generation through litigation filing, judgment enforcement, and post-judgment collection — to identify automation opportunities.
  • Build AI-powered document processing pipelines that extract, classify, and validate data from court filings, payment records, account statements, bankruptcy notices, and client placement files.
  • Design and deploy LLM-based workflows for drafting and reviewing legal documents such as complaints, affidavits of indebtedness, motions for default judgment, garnishment applications, and satisfaction of judgment filings.
  • Automate court e-filing processes, deadline calendaring, and case status tracking across multiple jurisdictions and court systems.
  • Develop integrations between case management systems, client portals, skip tracing tools, payment platforms, and document management repositories.
  • Create intelligent triage systems that route incoming accounts based on balance thresholds, statute of limitations calculations, bankruptcy flags, active-duty military status (SCRA), and state-specific regulatory requirements.
  • Build monitoring and reporting dashboards that track automation accuracy, case cycle times, compliance metrics, and return-on-investment by client portfolio.
  • Implement quality control checkpoints and exception-handling workflows to ensure automated outputs meet legal and ethical standards before filing or client delivery.
  • Stay current on regulatory changes affecting creditors’ rights practice — including FDCPA, CFPB guidance, state licensing requirements, and court rule amendments — and update automations accordingly.
Qualifications
  • A bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).
  • 3+ years of experience in software engineering, process automation, or legal technology.
  • Proficiency in Python and at least one additional language
  • Hands-on experience with AI/ML frameworks and LLM APIs (e.g., Anthropic).
  • Strong understanding of RESTful APIs, webhooks, database design, and event-driven architectures.
  • Experience with cloud platforms.
  • Comfort working with large, messy datasets including scanned documents, inconsistent file formats, and legacy system exports.
Nice to Have
  • Prior experience working in or alongside a creditors’ rights, collections, or consumer finance law firm.
  • Familiarity with court e-filing systems (Tyler Technologies, File & Serve, Odyssey eFileIL, etc.).
  • Knowledge of FDCPA, FCRA, CFPB regulations, SCRA, and state-specific collection statutes.
  • Experience with OCR, intelligent document processing, or document intelligence platforms.
  • Background in RPA tools such as UiPath
  • Understanding of skip tracing data sources and third-party vendor integrations.
  • Exposure to Six Sigma, Lean, or other process improvement methodologies within legal operations.