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Natural Language Processing Jobs in Virginia (NOW HIRING)

Orchard

Data Scientist - Mid-Level

Reston, VA · On-site

... Natural Language Processing (NLP) to include new entities and improved visualization. • Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate ...

Bespoke Technologies, Inc

Data Scientist

Mclean, VA · On-site

The client requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the client's customers. The client ...

Bespoke Technologies, Inc

Data Scientist

Mclean, VA · On-site

The client requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the client's customers. The client ...

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA · On-site

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

OCT Consulting, LLC

Data Analyst (0045)

Arlington, VA · On-site

$90K - $120K/yr

Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates. * Interview ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL ...

Wiser

Data Scientist (Mid/Senior) - TS/SCI

Springfield, VA · On-site

$85K - $140K/yr

Senior candidates require additional experience with artificial intelligence, natural language processing, machine-to-machine learning, and NoSQL including document and graph schemas, ontologies, OWL ...

Kepora

Data Scientist

Mclean, VA · On-site

The Sponsor requires support specializing in natural language processing (NLP) and associated data preparation to help identify challenges and opportunities for the Sponsor,Aos customers. The Sponsor ...

ECS

Principal AI/ML Scientist

Arlington, VA · On-site

$140K - $180K/yr

Develop and implement AI architectures that meet business requirements, using techniques such as machine learning, deep learning, natural language processing, and computer vision. * Design and ...

RIVIDIUM

Data Scientist- Senior

Quantico, VA · On-site

Familiarity with natural language processing (NLP) and/or image processing techniques * Experience working with Microsoft tools , including SharePoint * Strong analytical, problem-solving, and ...

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$14

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How much do natural language processing jobs pay per hour?

As of Jul 24, 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.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, 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 roles?

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.

What is a Natural Language Processing job?

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.

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 data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

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 such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $52,532 per year, or $25.3 per hour.
Data Scientist - Mid-Level

Data Scientist - Mid-Level

Orchard

Reston, VA • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
Orchard is retained by a top geospatial technology company supporting U.S. Government operations missions. The Data Scientist role involves supporting advanced analytical methodologies leveraging AI, machine learning, and data science to enhance defense intelligence programs. Responsibilities include collaborating with analysts to solve complex data challenges, developing predictive intelligence approaches, and automating analytic workflows.
Responsibilities:
• Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations.
• Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition.
• Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments.
• Expand existing Natural Language Processing (NLP) to include new entities and improved visualization.
• Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor).
• Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency.
• Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production.
• Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards.
• Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences.
• Evaluate and optimize analytic performance using qualitative and quantitative metrics.
Qualifications:
Required:
• Must be a U.S. Citizen and have an active TS/SCI with in-scope CI poly.
• 8 years of experience and an advanced degree.
• Experience with Git and software development workflows.
• Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization.
• Demonstrated experience with statistical analysis and data mining algorithms.
• Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage.
Preferred:
• Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
• Familiarity with graph databases or graph data structures.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experience with AWS or similar cloud provider.
• Demonstrated experience in solving problems with structured and unstructured data.
• Experienced in applying statistical and data visualization skills.
• Strong problem-solving skills to manipulate data and draw insights from large data sets.
• Proven ability to learn and master new software, technologies and techniques.
• Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements.
• Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.
Company:
We're a team of engineers, researchers, and farmers on a mission to revolutionize one of Earth's most important industries – agriculture. Founded in 2022, the company is headquartered in Seattle, USA, with a team of 11-50 employees. The company is currently Early Stage.

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