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Natural Language Processing Jobs in Washington, DC

Pae

Healthcare (HC) Data Analyst

Bethesda, MD

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

Amentum

Healthcare (HC) Data Analyst

Bethesda, MD · On-site

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

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All JobsNatural Language Processing JobsNatural Language Processing Jobs in Washington, DC

Natural Language Processing information

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$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.

Data Scientist 3

Avid Technology Professionals

Laurel, MD • On-site

Full-time

Posted 25 days ago

Job description

Required:• Background in statistical analysis• Python• Experience with building, tuning, and testing predictive models• Experience creating analytic charts and dashboards
Desired:• Elasticsearch• RegEx• Machine learning• Natural Language Processing• Regression and predictive analysis• MATLAB or R• SQL or Mongodb• Metric Database (Grafana/Graphite/InfluxDB)

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