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Natural Language Processing Jobs in Virginia (NOW HIRING)

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 ...

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 ...

Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) Good understanding and experience working with Natural Language Processing ...

Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL) Good understanding and experience working with Natural Language Processing ...

... years in Natural Language Processing (NLP) technologies and large language models (LLM) * 5 plus years in database programming, including Python, SQL, or Postgres Other Required Skills:

... years in Natural Language Processing (NLP) technologies and large language models (LLM) * 5 plus years in database programming, including Python, SQL, or Postgres Other Required Skills:

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

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

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 ...

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

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 ...

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 Sep 4, 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 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.

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.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

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 linguistics. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

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 like Python, NLP libraries, and machine learning techniques. 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, 76% Full Time, 20% Part Time, 1% Temporary, and 2% 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 Engineer@ Reston, VA (Hybrid) 1 DAY Per week

Palnar

Reston, VA • On-site

Full-time

Re-posted 19 days ago


Job description

Required Skills:
  • 7+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks
  • 7+ years of experience withPython and Python tools, including Pandas or NumPy
  • Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL)
  • Good understanding and experience working with Natural Language Processing (NLP)
  • Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, LangGraph, or LangChain
  • Experience in resolving workflow problems through automation optimization
  • Experience in connecting Agents to APIs, Cloud platforms, or databases
  • Ability to work with automated testing tools to perform testing and maintenance
  • Experience with Software Development Lifecycle (SDLC), such as DevSecOps.
  • Experience with Cloud Service Providers such as Amazon Web Services (AWS)
  • Experience with developing REST services with Java and Spring Boot
  • Experience with the administration of continuous integration and continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Preferred experience working with GitHub and other collaborative development platforms.