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Natural Language Processing Analyst Jobs in Washington

... in Natural Language Processing, to enhance the effectiveness of Spectra AI and support the ... analyses, and visualization. • Working knowledge of a wide range of machine learning concepts ...

... Natural Language Processing (NLP), and cloud-based AI technologies to turn complex data into ... Apply analytical techniques to transform complex information into actionable insights and ...

New

... Natural Language Processing (NLP), and cloud-based AI technologies to turn complex data into ... Apply analytical techniques to transform complex information into actionable insights and ...

New

AI / Data Analyst

Herndon, VA · On-site

$135K - $216K/yr

... Natural Language Processing (NLP), and cloud-based AI technologies to turn complex data into ... Apply analytical techniques to transform complex information into actionable insights and ...

New

Showing results 21-40

Natural Language Processing Analyst information

What is a natural language processing analyst?

A Natural Language Processing (NLP) Analyst is a professional who specializes in using computational techniques to analyze and interpret human language data. They work with large volumes of text or speech data to extract meaningful insights, build language models, and develop applications such as chatbots or sentiment analysis tools. NLP Analysts often collaborate with data scientists, linguists, and software engineers to improve language-based systems and enhance user interactions. Their work is essential in fields like artificial intelligence, customer service automation, and information retrieval.

How does a natural language processing analyst typically collaborate with cross-functional teams on projects?

Natural Language Processing Analysts often work closely with data scientists, software engineers, and product managers to design and implement language-based solutions. They may be responsible for translating project requirements into technical specifications, sharing insights from text data analysis, and ensuring that NLP models align with business objectives. Regular communication and teamwork are essential, as NLP Analysts provide expertise on linguistic challenges and help integrate their models into broader applications. This collaborative environment fosters both technical growth and a deep understanding of the business context.

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

To thrive as a Natural Language Processing Analyst, you need a solid background in linguistics, statistics, and computer science, often supported by a degree in a related field and experience with NLP concepts. Proficiency with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and NLP libraries (like NLTK or spaCy) is essential, as is familiarity with data annotation and processing tools. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with cross-functional teams. These skills ensure accurate model development, efficient data handling, and the translation of complex findings into actionable insights for organizational success.

What is the difference between Natural Language Processing Analyst vs Data Scientist?

AspectNatural Language Processing AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with NLP toolsBachelor's or higher in Computer Science, Statistics, or related; often with advanced certifications
Work EnvironmentTech companies, research labs, or AI-focused teamsVarious industries including finance, healthcare, tech; broader scope
Employer & Industry UsagePrimarily in AI, NLP, and language-focused projectsAcross data-driven sectors, including analytics and machine learning
Common Search & Comparison IntentUnderstanding specific NLP roles vs broader data analysis roles

The Natural Language Processing Analyst specializes in developing and implementing NLP models to analyze language data, while a Data Scientist has a broader focus on analyzing various data types to inform business decisions. Both roles require strong technical skills, but NLP Analysts focus more on language-specific tasks within AI projects.

What cities in Washington are hiring for Natural Language Processing Analyst jobs?

Cities in Washington with the most Natural Language Processing Analyst job openings:

Infographic showing various Natural Language Processing Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

ME00647-Data Scientist 3

Fort George G Meade, MD • On-site

Other

Medical, Dental, Vision, Life, PTO

Re-posted 6 days ago


Job description

ME00647-Data Scientist 3Momentum Engineering Fort Meade, Maryland, United States About this position

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

  • Seeking a Data Scientist to support a Natural Language Processing project focused on automatically processing spoken and written language data
  • The successful candidate will develop automated tokenization and linguistic annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

  • Develop NLP solutions for spoken and written language data
  • Develop automated approaches for accurate language tokenization
  • Create automated solutions for annotating language data with parts-of-speech information
  • Analyze speech and text datasets
  • Improve existing NLP models and processing techniques
  • Evaluate model performance against human-generated annotations
  • Develop quantitative methods for measuring model accuracy and effectiveness
  • Document model performance, analytical methods, and recommended improvements

Required Qualifications

  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing
  • Experience processing text and/or speech data
  • Understanding of tokenization and linguistic annotation concepts
  • Strong analytical and software-development skills

Desired Qualifications

  • Experience with parts-of-speech tagging
  • Computational linguistics background
  • Experience evaluating automated NLP output against human-generated annotations
  • Experience working with both speech and text datasets

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication—ensuring long-term stability and expertise for our customers’ critical needs.

Job Summary

  • Seeking a Data Scientist to support a Natural Language Processing project focused on automatically processing spoken and written language data
  • The successful candidate will develop automated tokenization and linguistic annotation capabilities and evaluate model performance against human-generated annotations

Primary Responsibilities

  • Develop NLP solutions for spoken and written language data
  • Develop automated approaches for accurate language tokenization
  • Create automated solutions for annotating language data with parts-of-speech information
  • Analyze speech and text datasets
  • Improve existing NLP models and processing techniques
  • Evaluate model performance against human-generated annotations
  • Develop quantitative methods for measuring model accuracy and effectiveness
  • Document model performance, analytical methods, and recommended improvements

Required Qualifications

  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Master’s degree with 6 years of relevant experience, Bachelor’s degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing
  • Experience processing text and/or speech data
  • Experience developing automated language-processing solutions
  • Understanding of tokenization and linguistic annotation concepts
  • Experience evaluating model performance
  • Strong analytical and software-development skills

Desired Qualifications

  • Experience with parts-of-speech tagging
  • Computational linguistics background
  • Experience evaluating automated NLP output against human-generated annotations
  • Experience working with both speech and text datasets

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.

The pay range for this role is:

135,000 - 180,000 USD per year(Ft. Meade MD)

Salary Information

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