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Ai Ocr Jobs in Riverside, CA (NOW HIRING)

... OCR/document recognition tools and data platforms. • Develop APIs and middleware to enable seamless AI workflow orchestration. • Ensure AI implementations align with mortgage regulatory ...

Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools and data platforms. * Develop APIs and middleware to enable seamless AI workflow orchestration.

Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools and data platforms. * Develop APIs and middleware to enable seamless AI workflow orchestration.

AI Engineer

Irvine, CA · On-site

$140K - $160K/yr

Integrate AI systems with LOS platforms, CRM systems, pricing engines, OCR/document recognition tools and data platforms. * Develop APIs and middleware to enable seamless AI workflow orchestration.

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.

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What cities near Riverside, CA are hiring for Ai Ocr jobs?

Cities near Riverside, CA with the most Ai Ocr job openings:

AI Project Specialist - Temp/Intern to hire

Newegg

Diamond Bar, CA • On-site

$31K - $36K/yr

Temporary, Internship

Re-posted 29 days ago


Newegg rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

  • Apply computer vision techniques to automate warehouse and logistics workflows, such as:
    • Develop and deploy computer vision models for object detection, tracking, and anomaly detection in logistics workflows (e.g., pallet counting, dock monitoring, trailer in/out verification).
    • Build and maintain OCR and document understanding pipelines for extracting structured data from BOLs, ASNs, invoices, packing lists, and other logistics PDFs
    • Integrate camera-based recognition systems (e.g., license plate recognition, packed item verification, activity recognition) into warehouse operations.
  • Collaborate with operations teams to validate AI outputs against real logistics scenarios.
  • Assist in developing prototypes, testing models, and refining algorithms to improve accuracy and efficiency.
  • Support documentation of processes, findings, and best practices for ongoing projects.

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.
  • Strong academic or project experience in computer vision, deep learning, or machine learning.
  • Familiarity with libraries and frameworks such as OpenCV, TensorFlow, or PyTorch.
  • OCR & Document AI: Tesseract, PaddleOCR, LayoutLM, Donut, or commercial services (AWS Textract, Google Vision, Azure Form Recognizer)
  • Solid programming skills in Python (preferred) or similar languages.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills, with the ability to work closely with both technical and operations teams.

Preferred Skills
  • Prior project or internship experience applying AI/ML in logistics, supply chain, or manufacturing environments.
  • Knowledge of warehouse management systems or logistics processes.

What Newegg employees say

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