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Natural Language Processing Jobs in Virginia (NOW HIRING)

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 ...

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 ...

... learning, natural language processing, generative AI, and Agentic AI. • Experience analyzing complex data sets to identify patterns and trends, and designs and develops AVML models to solve ...

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

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 ...

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 ...

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 ...

Data Scientist

Arlington, VA · On-site

$110 - $140/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 ...

Showing results 21-40

Natural Language Processing information

See Virginia salary details

$14

$25

$47

How much do natural language processing jobs pay per hour?

As of Aug 14, 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 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.

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.

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 strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

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 information extraction, often using tools like Python, NLP libraries, and machine learning models. 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:

Infographic showing various Natural Language Processing job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, 1% Temporary, and 4% 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.

Full-time

Posted 18 days ago


Job description

Summary

All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the Analytic team in developing machine learning models, preparing and analyzing data, and applying natural language processing to unstructured datasets. It is an excellent opportunity for an emerging data scientist to grow within a high-impact federal mission environment. This is for proposed work, and any offer of employment would be contingent upon award.

 

Essential Functions

  • Develop, train, and evaluate custom machine learning and AI models, including both supervised and unsupervised approaches.
  • 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 to improve analytic outcomes.
  • Evaluate enterprise data holdings and develop models and techniques that enrich data toward mission advantage.
  • Manipulate, cleanse, and prepare structured and unstructured data for model development and analysis.
  • Build data visualizations that communicate analytic findings to technical and non-technical stakeholders.
  • Collaborate within an Agile delivery team, participating in sprint planning, reviews, and continuous delivery.

 

Competencies

  • 2+ years of experience with an analytical or statistical language such as Python, R, or SQL.
  • Exposure to machine learning concepts, including model training and evaluation.
  • Experience working with structured and unstructured data.
  • Familiarity with data visualization tools.
  • Ability to work collaboratively in an Agile development environment.

Supervisory Responsibility

None for this position

 

Physical Demands 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

  • Must be able to remain in a stationary position 75% of the time.
  • Occasionally moves about inside the office to access file cabinets, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer.
  • Expresses or exchanges ideas by means of the spoken word.  Those activities in which they must convey detailed or important spoken instructions to other workers accurately, loudly or quickly.
  • Frequently moves standard office equipment up to 25 pounds.
  • Must be able to work indoor conditions 90% of the time.

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.

Position Type/Expected Hours of Work

This is a full-time position with flexible hours based on mission requirements. 

Travel

No travel is expected for this position. 

Experience

Education

Bachelor's degree in data science or a related quantitative field with coursework or project experience in natural language processing or machine learning. Experience can be considered in lieu of education,

Drug Free Workplace

All Native Group is a Drug Free Workplace. It is our policy that all new hires must successfully complete a pre-employment drug screen as a condition of employment. In addition, all employees are subject to random drug screens throughout the term of their employment with All Native Group.

Security Clearance

Active secret clearance required

AAP/EEO Statement 

All Native Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. However, preference may be extended to persons of Indian descent in accordance with applicable laws.

About Ho-Chunk, Inc. & All Native Group

Ho-Chunk, Inc. is an award-winning economic development corporation of the Winnebago Tribe of Nebraska. Our mission is to provide long-term economic development for the Winnebago Tribe and job opportunities for Tribal members.

All Native Group is a network of small businesses that support the critical missions of various U.S. Government customers. Our capabilities include telecommunications, health, logistics, specialized training, professional services, and IT solutions. Since earning our first federal contract in 2004, we have continued to grow and diversify our services while maintaining a strong commitment to excellence. As a tribally owned organization, All Native Group operates multiple subsidiary businesses, providing clients with the advantages of working with a small business while leveraging the resources and expertise of a larger, established company. Our work is guided by our core NATIVE values:

  • Native American Owned & Proud - Serving the Winnebago Tribe of Nebraska.
  • Accountable - To always do what's right.
  • Team-Focused - For inclusive progress.
  • Innovative - In creating solutions.
  • Visionary - In our purpose and direction.
  • Excellence - Through learning and performance.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Employment Type: FULL_TIME