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Natural Language Processing Jobs in Virginia (NOW HIRING)

Photon

GenAI Solution Architect - VA

Norfolk, VA · On-site

$61 - $80.25/hr

Strong understanding of deep learning, natural language processing, and computer vision. Excellent problem-solving skills and ability to work independently and in a team environment. Preferred ...

All Native Group

Junior Data Scientist

Arlington, VA

Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data. * Improve and expand existing entity extraction processes, incorporating new entities and models ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

$70 - $95/hr

Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data. * Improve and expand existing entity extraction processes, incorporating new entities and models ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data. * Improve and expand existing entity extraction processes, incorporating new entities and models ...

All Native Group

Junior Data Scientist

Arlington, VA · On-site

Apply natural language processing (NLP) techniques to extract, enrich, and analyze unstructured data. * Improve and expand existing entity extraction processes, incorporating new entities and models ...

Integral Federal, Inc.

Data Scientist

Mclean, VA · On-site

$90 - $120/hr

... Natural Language Processing (NLP) to analyze unstructured text and the integration of AI/ML platforms (e.g., AWS SageMaker, Azure Machine Learning) * Automate infrastructure and workflows using ...

Closure Technologies

Data Scientist

Chantilly, VA

Experience in working with artificial intelligence, machine learning, natural language processing, data mining, statistics, and algorithms * Ability to develop persistent monitoring applications for ...

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How much do natural language processing jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for natural language processing in Virginia is $25.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $29.33 per hour, depending on experience, location, and employer.

What is a natural language processing?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

What are the key skills and qualifications needed to thrive in natural language processing, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in natural language processing?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

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. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

What can I do with natural language processing?

A natural language processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What are the most commonly searched types of Natural Language Processing jobs in Virginia?

The most popular types of Natural Language Processing jobs in Virginia are:

What are popular job titles related to Natural Language Processing jobs in Virginia?

For Natural Language Processing jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing jobs in Virginia look for?

The top searched job categories for Natural Language Processing jobs in Virginia are:

What cities in Virginia are hiring for Natural Language Processing jobs?

Cities in Virginia with the most Natural Language Processing job openings:

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $52,532 per year, or $25.3 per hour.

GenAI Solution Architect - VA

Photon

Norfolk, VA • On-site

$61 - $80.25/hr

Full-time

Re-posted 16 days ago

Job description

We are seeking an AI Engineer to work on a Generative AI initiative to join our team. The ideal candidate will have a deep understanding of language models, text-to-image, and other generative AI models. They must possess knowledge of Python, and machine learning frameworks. 

Responsibilities 

Develop and implement generative AI models, including LLMs, text-to-image and generative AI models. 

Train and evaluate models using large datasets. 

Troubleshoot and debug code to ensure high-quality results. 

Keep up to date with the latest developments in the field of generative AI and apply relevant new knowledge to the company's AI projects. 

Deep understanding of how to scale models and their limitations. Ability to quickly identify opportunities for model improvement 

Use predictive modeling to enhance and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. 

Collaborate with different teams to implement models and monitor outcomes. 

Develop processes and tools to monitor and analyze model performance and data accuracy. 

Lead all data experiments under the iterative testing framework. 

Engage with stakeholders to understand business challenges and develop data-driven solutions. 

Conduct advanced data analysis and design highly complex algorithmic models. 

Communicate complex quantitative analysis in a clear, precise, and actionable manner. 
 

Requirements 

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 

2+ years of experience in developing and training AI/ML models. 

Experience with data querying languages like SQL, scripting languages like Python, and/or statistical/mathematical software e.g. R 

Knowledge of state-of-the-art generative AI models such as GPT-3, DALL-E, and CLIP. 

Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS 

Experience with training and evaluating large-scale models on high-performance computing clusters. 

Strong understanding of deep learning, natural language processing, and computer vision. 

Excellent problem-solving skills and ability to work independently and in a team environment. 

Preferred Qualifications: 

Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or other Science related discipline with course work in AI/ML. 

Demonstrated experience in developing and training AI models  

Strong knowledge of deep learning, natural language processing, and computer vision. 

Experience with scaling up generative models and deploying them in production environments. 

Ability to work collaboratively in a team environment and communicate complex technical concepts to non-technical stakeholders. 

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