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Remote Optical Character Recognition Jobs in Washington

micro1 AI

AI Training Specialist - Physics

Alexandria, VA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

micro1 AI

AI Training Specialist - Physics

Washington, DC · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

Scout Space

Spacecraft Thermal Engineer

Reston, VA · On-site +1

Collaborate with systems, electrical, optical, and software engineers to integrate thermal hardware ... Our positions are based in Reston, Virginia, with much of our team operating in a hybrid or remote ...

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All JobsOptical Character Recognition JobsRemote Optical Character Recognition JobsRemote Optical Character Recognition Jobs in Washington

Remote Optical Character Recognition information

What is a remote optical character recognition?

A Remote Optical Character Recognition (OCR) job involves working from a remote location to convert printed, handwritten, or scanned text into machine-encoded text using specialized OCR software. Professionals in this role process digital images or documents to extract and digitize textual information, making it searchable and editable. The work often includes reviewing and correcting OCR results to ensure accuracy, and may be part of larger data entry, archiving, or digitization projects. This role is typically suitable for those with strong attention to detail and familiarity with OCR tools.

What are the key skills and qualifications needed to thrive as a remote optical character recognition specialist?

To thrive as a Remote Optical Character Recognition (OCR) Specialist, you need a strong understanding of document processing, data entry accuracy, and familiarity with OCR software, often supported by experience in data management or information technology. Proficiency with OCR tools such as ABBYY FineReader, Adobe Acrobat, or Tesseract, and sometimes knowledge of programming languages like Python, is typically required. Attention to detail, problem-solving abilities, and strong communication skills are essential soft skills for identifying errors and collaborating remotely. These competencies ensure accurate data extraction, efficient workflow, and high-quality results in digital document conversion.

What are some common challenges faced by professionals working in remote optical character recognition roles, and how can they be addressed?

Professionals in remote OCR roles often encounter challenges such as dealing with low-quality or complex image files, ensuring high accuracy in text extraction, and managing data security when handling sensitive documents. Communication with clients or team members to clarify requirements is also essential, especially when working asynchronously. Adopting advanced OCR tools, establishing clear workflows, and utilizing secure file-sharing platforms can help address these challenges, making remote collaboration more efficient and maintaining high data integrity.

What is the difference between Remote Optical Character Recognition vs Remote Data Entry Specialist?

AspectRemote Optical Character RecognitionRemote Data Entry Specialist
CredentialsTypically requires OCR software knowledge, basic computer skillsRequires data entry experience, accuracy, and sometimes certification
Work EnvironmentUses specialized OCR tools, often in tech or document processing industriesUses data management software, in administrative or clerical settings
Industry UsageDocument digitization, automation, AI trainingData management, record keeping, database updating
Search/Comparison IntentUnderstanding OCR technology, automation rolesData entry tasks, accuracy-focused roles

Remote Optical Character Recognition involves using OCR software to convert images or scanned documents into editable text, often for automation or AI training. Remote Data Entry Specialists manually input data into systems, focusing on accuracy and speed. While both roles involve working with digital documents, OCR is more tech-driven and automated, whereas data entry is manual and clerical.

What are popular job titles related to Remote Optical Character Recognition jobs in Washington?

For Remote Optical Character Recognition jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Optical Character Recognition jobs in Washington look for?

The top searched job categories for Remote Optical Character Recognition jobs in Washington are:

What cities in Washington are hiring for Remote Optical Character Recognition jobs?

Cities in Washington with the most Remote Optical Character Recognition job openings:

Remote Optical Character Recognition jobs near you

Senior Data Scientist (NLP and Unstructured Data Analytics)

Washington, DC • On-site, Remote

Node.Digital
Software Development • 11 - 50 employees
Learn more about Node.Digitalexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

Senior Data Scientist (NLP and Unstructured Data Analytics)

Location: Herndon, VA (Remote Work)

Must have a Public Trust Clearance

KEY RESPONSIBILITIES

  • Integrate and scale natural language processing methods to parse, clean, and analyze large corpora of unstructured and semi structured text, using optical character recognition, semantic similarity algorithms, and large language models as needed.
  • Design, develop, test, calibrate, and implement statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
  • Build and refine supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches.
  • Review, maintain, and support all existing loan fraud indicators developed by TSD.
  • Perform data quality analysis on source tables and develop repeatable processes for combining and analyzing large data sources.
  • Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, and adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
  • Develop case leads for SBA OIG investigations from model outcomes.
  • Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
  • Build visualizations and dashboards conveying methodological choices, outcomes, and predictive capability, iterated on end user feedback.
  • Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
  • Coordinate with the data engineering seat so the architecture supports machine learning and text processing pipelines efficiently.
  • Create programming and automation techniques using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
  • Identify new business questions that expand the scope of analysis and reporting.

Requirements

Required

Education

Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.

  • 5+ yearsDesigning, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
  • 5+ yearsDeveloping analytic rules and models using leading edge analytic tools and best practices.
  • 5+ yearsDeveloping regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • 3+ yearsProviding data support for criminal investigations into financial fraud or abuse of government funds.
  • 3+ yearsManipulating data in Python. Pandas is required.
  • 3+ yearsWorking in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
  • 2+ yearsConducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
  • 2+ yearsDeveloping and scaling natural language processing solutions.
  • 2+ yearsPresenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

PREFERRED QUALIFICATIONS

  • Production experience with named entity recognition and entity resolution across messy document corpora.
  • Retrieval augmented generation, vector stores, embeddings, and semantic search at scale.
  • Large language model integration under federal security constraints, including boundary controlled deployment and prompt versioning.
  • Optical character recognition pipelines applied to scanned or low quality source documents.
  • Topic modeling, document classification, or clustering applied to audit, legal, or investigative text.
  • Cloud certification in Azure, AWS, or GCP.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical 
  • Dental
  • Vision
  • Basic Life 
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training

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