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Nlp Jobs in Ohio (NOW HIRING)

The role involves utilizing NLP and computer vision techniques for content extraction from unstructured sources and contributing to architecture guidelines and standards. Responsibilities : • NLP ...

Lead the identification and development of AI tools such as NLP, LLM, and IA; * Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; * Work on a ...

Lead the identification and development of AI tools such as NLP, LLM, and IA; * Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; * Work on a ...

Responsibilities : • Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning. • Own end to end MLOps pipelines data ingestion, training, deployment ...

AI Engineer

Cincinnati, OH · On-site

$120 - $180/hr

Research, develop, and implement AI tools such as NLP, LLM, and IA; * Collect, preprocess, and curate large datasets required for training generative models; * Experiment with different machine ...

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

Research, develop, and implement AI tools such as NLP, LLM, and IA; * Collect, preprocess, and curate large datasets required for training generative models; * Experiment with different machine ...

AI Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

Research, develop, and implement AI tools such as NLP, LLM, and IA; * Collect, preprocess, and curate large datasets required for training generative models; * Experiment with different machine ...

Design, build, and deploy agentic AI systems that leverage LLMs, NLP, and retrieval-augmented generation (RAG) pipelines to support both client-facing and agent-facing use cases. * Collaborate with ...

OH

$44.50 - $58.75/hr

Design, develop, and maintain automation frameworks and test scripts using Selenium, UFT / QTP, Botium Testing tool, C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing ...

Senior AI/ML Engineer

Dayton, OH · On-site

$99K - $225K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern sof tware engineering practices, consistent with the company's AI / ML engineering role ...

AI/ML Engineer, Senior

Dayton, OH · On-site

$99 - $225/hr

Your work will leverage deep experience with ML‑based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role ...

OH · On-site

$44.50 - $58.75/hr

Design, develop, and maintain automation frameworks and test scripts using Selenium, UFT / QTP, Botium Testing tool, C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing ...

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Your work will leverage deep experience with ML-based NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role ...

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role ...

AI/ML Engineer, Senior

Dayton, OH · Hybrid

$99K - $225K/yr

Your work will leverage deep experience with MLbased NLP, LLMs and generative AI, computer vision, and modern software engineering practices, consistent with the company's AI/ML engineering role ...

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Showing results 1-20

Nlp information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do nlp jobs pay per year?

As of Sep 5, 2026, the average yearly pay for nlp in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What is an NLP?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What does an NLP specialist do?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

What are the key skills and qualifications needed to thrive in the NLP position, and why are they important?

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

Is natural language processing a good career?

Natural language processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.

What qualifications do I need for natural language processing?

To work in natural language processing (NLP), candidates typically need a bachelor's degree in computer science, linguistics, or a related field, with many roles requiring a master's or Ph.D. in a relevant area. Strong programming skills in languages like Python, experience with NLP libraries such as NLTK or spaCy, and knowledge of machine learning concepts are essential. Familiarity with data preprocessing, statistical analysis, and tools like TensorFlow or PyTorch also enhances job prospects.

What are the most commonly searched types of Nlp jobs in Ohio?

The most popular types of Nlp jobs in Ohio are:

What cities in Ohio are hiring for Nlp jobs?

Cities in Ohio with the most Nlp job openings:

Infographic showing various Nlp job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.

Software Developer for NLP Solutions - Product Localization

Siemens AG

Mason, OH • On-site

$90 - $162/hr

Other

Posted yesterday

New


Job description

Job Family: Software

Req ID: 519745

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.

Position Overview:

As a software developer, you will play a critical role in enhancing our localization efforts through the development, implementation and optimization of advanced software applications and AI data-driven solutions. You will work closely with cross-functional teams to design, code, implement and optimize localization agents, applications and data workflows, enhance language models, and optimize AI data selection, maintenance and usage.

Key Responsibilities:
  • Develop, evaluate, deploy and document AI capabilities, applications and solutions – implement custom AI data retrieval systems

  • Develop and implement AI agents and applications

  • Design and build chatbots and virtual assistants

  • Design, develop, test and deploy web apps

  • Create and optimize question-answering systems

  • Develop and enhance text summarization algorithms

  • Implement advanced search techniques and algorithms

  • Collaborate with cross-functional teams to integrate AI solutions into products

  • Conduct research and stay updated with the latest advancements in NLP and machine learning

  • Develop, evaluate, deploy, and document AI solutions – implement custom AI/RAG data retrieval systems:

  • Design, code, test and implement AI agents, applications, solutions and custom data to improve machine translation, translation quality prediction, text analysis and language processing as part of the comprehensive corporate localization workflow. Add custom data to RAG repositories, develop continuous custom data pipeline. Participate in agile scrum ceremonies like daily standup, sprint planning, sprint review and retrospective.

  • Optimize Localization Data Workflows and Usage:

  • Collaborate with localization specialists to automate and enhance translation processes.

  • Develop tools to assist in localization activities, terminology management, glossary creation, and consistency checks. Create and optimize custom data pipelines and workflows for efficient data handling and processing.

  • Research and Innovation:

  • Stay updated on the latest developments in NLP and machine learning. Propose and implement innovative solutions to complex language processing challenges.

  • Cross-functional Collaboration:

  • Work with software engineers, product managers, and localization teams to integrate AI solutions into our products. Provide technical guidance and support to team members on data science and AI methodologies.

  • Performance Monitoring:

  • Evaluate the effectiveness of AI models and algorithms. Evaluate data effectiveness for custom capabilities/AI agents. Measure efficiency of custom data. Optimize models based on performance metrics and user feedback. Take ownership for the data science workflow including exploratory data analysis and model development. Document and present findings, methodologies, and results to stakeholders.

Qualifications:
  • Education:

  • Bachelor’s degree in Computer Science, Data Science, Computational Linguistics, Artificial Intelligence, or a related field. Master’s degree a plus but not required.

  • Experience:

  • Minimum of 3 years of professional experience developing applications and solutions. Experience developing applications and solutions either hosted on or connected to cloud platforms (Azure, AWS, etc.)

  • Experience developing multilingual projects and handling language-specific challenges. Experience implementing custom AI and RAG systems.

  • Building and optimizing vector databases for efficient information retrieval

  • Implementing and fine-tuning embedding models for document processing

  • Creating custom chunking strategies and document preprocessing pipelines

  • Developing context-aware prompt engineering solutions

  • RAG (Azure, AWS) Implementation:

  • Successfully deployed production-grade RAG systems that integrate with existing enterprise infrastructure

  • Experience in optimizing retrieval performance and relevance scoring

  • Demonstrated ability to create custom evaluation metrics for RAG system performance

  • Knowledge of best practices in prompt engineering and context window management

  • Natural Language Processing (NLP):

  • Experience with Key techniques and concepts in NLP, NLU and NLG

  • Experience with API development and microservices architecture

  • Understanding of enterprise security requirements for AI systems

  • Familiarity with MLOps practices and deployment pipelines

  • Background in software localization or familiarity with localization processes is highly desirable.

  • Technical Skills:

  • Proficient in programming languages such as C++, Java, Python, etc.

  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their corresponding AI services.

  • Experience with Gen AI, LLMs, Agentic AI, Vector DBs

  • Machine Learning Strategies

  • Experience working with continuous integration and delivery (CI/CD) pipelines.

  • Soft Skills:

  • Excellent problem-solving abilities and attention to detail. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Collaborative mindset and experience working in cross-functional teams.

  • Certifications:

  • Relevant certifications in machine learning or NLP are a plus but are not required.

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

Siemens Software. Transform the Everyday with Us

#LI-PLM

#LI-HYBRID

#SWSaaS

The pay range for this position is $90,000 - $162,000 annually with a target incentive of 3-5% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

$90000 $162000 3-5%

Organization: Digital Industries

Job Type: Full-time

Category: Research & Development

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