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Natural Language Processing Intern 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 ...

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 ...

Jobtailor

Data Scientist

Washington, DC · On-site

$110 - $170/hr

Specific openings may require statistical inference, experimental design, forecasting, natural language processing, computer vision, econometrics, operations research, causal analysis, geospatial ...

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Natural Language Processing Intern information

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How much do natural language processing intern jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for natural language processing intern in Washington, DC is $19.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

What is a natural language processing intern?

A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.

What types of projects or tasks does a natural language processing intern typically work on during their internship?

As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.

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

To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.

Is natural language processing in demand?

Natural Language Processing (NLP) is a rapidly growing field with increasing demand for professionals, including NLP interns, as businesses seek to improve automation, customer service, and data analysis. Skills in machine learning, Python, and NLP tools like spaCy or NLTK enhance employability in this expanding industry.

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 Intern jobs in Washington, DC?

For Natural Language Processing Intern jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Natural Language Processing Intern jobs in Washington, DC look for?

The top searched job categories for Natural Language Processing Intern jobs in Washington, DC are:

Natural Language Processing Intern jobs near you
Infographic showing various Natural Language Processing Intern job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $40,771 per year, or $19.6 per hour.

Healthcare (HC) Data Analyst

Pae

Bethesda, MD

Full-time

Re-posted 15 days ago

Job description

Amentum provides a range of Department of Defense, Intelligence Community, and Commercial analytic and operational support, risk analysis, analytic outreach, red teaming, and event support services. We pride ourselves in developing creative, customized, and flexible approaches that meet our clients' evolving and dynamic needs.

Amentum is seeking a Human Capital Data Analyst - Senior. This position is to build a pipeline for future work and is not a live opening.

The following categories shall pose the necessary skills and disciplines to assist the varying tasks. Responsibilities and duties listed below are not mutually exclusive.

Desired Knowledge, Skills and Abilities:

  • Provides Data Analytic support for HC surveys (eg Lime Survey) and data calls
  • Leads structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.
  • Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community.
  • Coordinates within government and across the IC for survey data
  • Uses data tools such as Python, conduct R analysis, SPSS, display results via Tableau
  • Interfaces with government stakeholders within HC, HRM), 18 IC Agencies CHCOs, other task order PMs and DEIA Lead

Required Skills and Abilities:

  • TS/SCI security clearance is required.
  • Senior level experience with HR-related Data Analytics, to include support for HC surveys (eg Lime Survey) and data calls, structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.
  • Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community.
  • Highly proficient with data tools such as Python, conduct R analysis, SPSS, display results via Tableau.
  • Excellent oral and written communications skills and expertise with MS Office tool suite.

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