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Natural Language Processing Jobs in Washington, DC

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

Conduct sophisticated analysis using deployed tools and natural language processing (NLP). * Analyze large amounts of raw data, including text data, to provide business insights. * Preprocess or ...

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

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 ...

DCCA

AI - Enigneer/Analyst

Mclean, VA · On-site

... 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 ...

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Natural Language Processing information

See Washington, DC salary details

$16

$28

$54

How much do natural language processing jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for natural language processing in Washington, DC is $28.85, according to ZipRecruiter salary data. Most workers in this role earn between $19.86 and $33.51 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 Washington, DC? The most popular types of Natural Language Processing jobs in Washington, DC are:
What are popular job titles related to Natural Language Processing jobs in Washington, DC? For Natural Language Processing jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Washington, DC look for? The top searched job categories for Natural Language Processing jobs in Washington, DC are:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Washington, DC as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $60,012 per year, or $28.9 per hour.

ME00573-Data Scientist 3

Momentum Engineering, Inc

Fort George G Meade, MD • On-site

$135 - $180/hr

Other

Medical, Dental, Vision, Life, PTO

Re-posted 9 days ago

Job description

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 the development of advanced Natural Language Processing (NLP) solutions focused on the automated processing and analysis of spoken and written language data
  • This role is responsible for building and improving models that accurately tokenize language data and annotate linguistic features, enabling scalable and high-quality language understanding capabilities
  • The position involves evaluating model performance against human-generated annotations to continuously enhance accuracy and effectiveness
Primary Responsibilities
  • Develop and implement NLP models to automatically tokenize language data from both spoken and written sources
  • Design and build automated solutions for annotating language data with parts-of-speech (POS) tagging and linguistic features
  • Train, test, and validate machine learning models for language processing tasks
  • Evaluate and improve model performance by benchmarking against human-generated annotations for speech and text data
  • Process and analyze large volumes of structured and unstructured language data
  • Develop data pipelines to support ingestion, preprocessing, and transformation of linguistic datasets
  • Collaborate with cross-functional teams to integrate NLP models into production systems
  • Perform error analysis and model tuning to improve accuracy and robustness
  • Document methodologies, model performance, and data processing workflows
Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master’s degree with 6 years of relevant experience, Bachelor’s Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing (NLP) and machine learning techniques
  • Strong proficiency in Python and relevant NLP/ML libraries (e.g., NLTK, spaCy, Hugging Face, or similar)
  • Experience developing models for tokenization, text processing, and linguistic annotation
  • Experience working with speech and/or text data
  • Understanding of model evaluation techniques, including comparison to ground truth or human-labeled data
  • Strong analytical and problem-solving skills
Desired Qualifications
  • Experience with part-of-speech tagging and linguistic modeling
  • Experience working with multilingual or speech-based datasets
  • Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience deploying NLP models in production environments
  • Knowledge of data pipelines and large-scale data processing

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)

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