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Tesseract Jobs (NOW HIRING)

Senior AI/ML Engineer

Burbank, CA

$131K - $172K/yr

... Tesseract). The role involves building scalable APIs, orchestrating LLM-based workflows, and implementing document ingestion and text extraction pipelines to support AI-driven applications. Key ...

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

Experience with Tesseract OCR * Keen interest in healthcare technology * Strong work ethic Please submit a Cover Letter outlining your experience with the required qualifications above. Additional ...

PA · On-site

Familiarity with OCR technologies (Tesseract, PaddleOCR, EasyOCR). * Knowledge of object detection methods (YOLO, Faster R-CNN). To Apply: Please send your resume to jobs@eliteworkforceinc.com with ...

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

Experience with Tesseract OCR * Keen interest in healthcare technology * Strong work ethic Please submit a Cover Letter outlining your experience with the required qualifications above. Additional ...

Skills Needed • 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. • 3+ years in microservices. • 3+years in SpaCy, NLTK, or Hugging Face's • 3+years in Tesseract, Google Vision API, or ...

Familiarity with OCR toolkits (Tesseract, AWS Textract, Google Vision API, etc.) * Background in productionizing ML models in high-compliance environments What We Offer * The opportunity to work on ...

Working knowledge of HRIS software (e.g., IBM Kenexa, PeopleFluent, Tesseract) * Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop) * Demonstrated ability to ...

Working knowledge of HRIS software (e.g., IBM Kenexa, PeopleFluent, Tesseract) * Proficient with data mining software (e.g., IBM Cognos Business Intelligence, Hadoop) * Demonstrated ability to ...

Lead AI Engineer

$216K - $324K/yr

Experience with OCR technologies (e.g., Tesseract, Amazon Textract), NLP techniques, and model deployment in production environments * Deep understanding of NLP methods including embeddings ...

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Tesseract information

What are the key skills and qualifications needed to thrive as a Tesseract OCR Specialist, and why are they important?

To thrive as a Tesseract OCR Specialist, you need a solid understanding of optical character recognition principles, image preprocessing, and programming languages like Python or C++. Familiarity with Tesseract OCR engine, related libraries (such as OpenCV), and experience with document digitization tools or APIs is typical. Strong analytical thinking, problem-solving skills, and attention to detail help optimize OCR accuracy and troubleshoot extraction issues. These skills ensure efficient and accurate digitization of documents, enabling organizations to automate data entry and improve information accessibility.

What are some common challenges faced by professionals working with the Tesseract OCR engine, and how can they be addressed?

A common challenge when working with the Tesseract OCR engine is dealing with low-quality or complex images, which can lead to inaccurate text extraction. Addressing this often requires pre-processing steps such as image deskewing, noise reduction, and adjusting contrast. Additionally, customizing Tesseract with language data files and fine-tuning settings can significantly improve accuracy for specific use cases. Collaborating with software developers, data scientists, and QA testers is typical, as integrating OCR effectively usually involves cross-functional teamwork.

What are Tesseract jobs?

Tesseract jobs typically refer to roles related to the Tesseract OCR (Optical Character Recognition) engine, which is an open-source software used to convert images containing text into editable and searchable data. Jobs involving Tesseract can include positions such as software developer, machine learning engineer, or data scientist, where the focus is on integrating, optimizing, or enhancing OCR capabilities in various applications. Professionals in these roles often work on image preprocessing, text extraction, and improving the accuracy of OCR results for different languages and formats.

What is the difference between Tesseract vs OCR Technician?

AspectTesseractOCR Technician
Required CredentialsBasic computer skills, familiarity with OCR softwareTechnical training or certification in OCR or image processing
Work EnvironmentSoftware development, data processingData entry centers, document processing facilities
Industry UsageUsed by developers for OCR projectsEmployed in document digitization and data extraction roles
Common Search/ComparisonYesYes

While Tesseract is an open-source OCR engine used primarily by developers for integrating OCR into applications, OCR Technicians are professionals who operate OCR systems in data entry or document processing environments. Tesseract requires programming knowledge, whereas OCR Technicians focus on manual or semi-automated data extraction tasks.

More about Tesseract jobs
What states have the most Tesseract jobs? States with the most job openings for Tesseract jobs include:
Infographic showing various Tesseract job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Temporary. Highlights an 50% Physical, 28% Hybrid, and 22% Remote job distribution.
AI ML Python Developer PA ONSITE

AI ML Python Developer PA ONSITE

Kovan Technology Solutions

Middletown, PA • On-site

$48.50 - $66.75/hr

Contractor

Posted 28 days ago


Job description

Job Title: AI ML Python Developer 
Location: Middletown, Pennsylvania 17057 (Onsite 1 week per month)

Key Responsibilities:

  • Develop and deploy machine learning models focused on image processing, computer vision, and OCR.
  • Work with libraries such as OpenCV, Pillow, Tesseract, PaddleOCR, EasyOCR, or build custom models.
  • Collaborate with teams to define requirements and deliver robust AI solutions.
  • Optimize vision pipelines for performance and accuracy.
  • Maintain quality through code reviews and best software engineering practices.

Minimum Qualifications:

  • Strong Python programming and software development skills.
  • Experience as Machine Learning Vision Engineer 
  • Proven experience with image processing and computer vision libraries/tools.
  • Hands-on experience with OCR tools like Tesseract, PaddleOCR, or EasyOCR.
  • Familiarity with ML frameworks such as TensorFlow or PyTorch.
  • Experience in scalable software architecture and object-oriented programming.