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Natural Language Processing Jobs in Virginia (NOW HIRING)

Senior Cognitive Scientist

Herndon, VA · On-site +1

$130K - $140K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The ideal candidate will have deep expertise in cognitive modeling, training design, and performance metrics, along with hands-on experience in AI, machine learning, and natural language processing.

Data Scientist

Mclean, VA · On-site

$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 ...

Data Scientist

Mclean, VA · On-site

$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 ...

Experience developing and deploying Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision models. * Experience with Signal Processing, Geospatial Analytics ...

Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key. * Cloud Computing and MLOps: Knowledge ...

Data Scientist

Mclean, VA

$107K - $195K/yr

  • Retirement

  • PTO

Build statistical and machine learning models, conducting natural language processing (NLP), and developing automated solutions for complex business challenges. * Construct and execute complex ...

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

  • Retirement

  • PTO

Build statistical and machine learning models, conducting natural language processing (NLP), and developing automated solutions for complex business challenges. * Construct and execute complex ...

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

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

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

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

Data Scientist - NLP / Generative AI

Alexandria, VA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Hybrid - Arlington, Virginia Employment Type: Full-time BizFirst is assisting our client with the hiring of a Data Scientist specializing in natural language processing and generative AI to help the ...

New

Data Scientist - NLP / Generative AI

Arlington, VA · On-site

$150 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Full-timeBizFirst is assisting our client with the hiring of a Data Scientist specializing in natural language processing and generative AI to help the organization move from early experimentation ...

Showing results 41-60

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.

Sr. AI Platform Developer - Python & ML

1 point system

Herndon, VA • On-site

$124K - $168K/yr

Contractor

Re-posted 29 days ago


Job description

  • Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable.
  • Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.
  • AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
  • Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases.
  • Big Data Technologies: Familiarity with platforms like Apache Spark and OpenSearch is often necessary for handling large-scale data.
  • Mathematics and Statistics: A strong foundation in linear algebra, calculus, probability, and statistics is fundamental.
  • Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key.
  • Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps principles is vital for deploying and managing AI models.