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Natural Language Processing Intern Jobs in Maryland

This role will focus on natural language processing, text processing, and information extraction to support large-scale data hygiene, matching, and analytics initiatives, working closely with cross ...

AI Research Assistant

College Park, MD

$19 - $26.25/hr

Familiarity with at least one modern machine-learning or natural-language-processing toolkit - for example, PyTorch, Hugging Face Transformers, or sentence-transformers. * Ability to learn unfamiliar ...

AI Research Assistant

College Park, MD · On-site

$19 - $26.25/hr

Familiarity with at least one modern machine-learning or natural-language-processing toolkit - for example, PyTorch, Hugging Face Transformers, or sentence-transformers. * Ability to learn unfamiliar ...

NLM Data Scientist

Bethesda, MD · On-site

$100K - $115K/yr

Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research. We are looking for a Data ...

NLM Data Scientist

Bethesda, MD · On-site

$110 - $150/hr

Our Natural Language Processing (NLP) and analytics software is used by policy and decision makers to evaluate and prioritize current and emerging areas of research. We are looking for a Data ...

Showing results 41-60

Natural Language Processing Intern information

See Maryland salary details

$8

$16

$23

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

As of Sep 5, 2026, the average hourly pay for natural language processing intern in Maryland is $16.80, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $18.65 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 Maryland?

The most popular types of Natural Language Processing jobs in Maryland are:

What are popular job titles related to Natural Language Processing Intern jobs in Maryland?

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

What job categories do people searching Natural Language Processing Intern jobs in Maryland look for?

The top searched job categories for Natural Language Processing Intern jobs in Maryland are:

Infographic showing various Natural Language Processing Intern job openings in Maryland as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 16% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $34,934 per year, or $16.8 per hour.

Data Scientist [$231k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$231K/yr

Other

Re-posted 19 days ago


Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Drive the presentation of complex data insights through advanced visualizations. • Manage the full lifecycle of data, encompassing aggregation, processing, and curation. • Implement rigorous processes for identifying and correcting data inconsistencies and errors. • Requires expert proficiency in Python and Customer Dataflow. • Experience with Human Language Processing (HLP), Natural Language Processing (NLP), Large Language Models (LLMs) and Machine Learning/Artificial Intelligence (ML/AI) is highly advantageous. Qualifications & Compensation: - Degree: Technical bachelor's degree or equivalent experience - Years of experience: 10+ years - Salary: $231k+ yearly compensation Job Description: • Develop and deploy sophisticated data visualizations to effectively communicate complex analytical findings and insights. • Design, implement, and maintain efficient data aggregation, processing, and curation pipelines. • Proactively identify, diagnose, and resolve data quality issues and errors to ensure data integrity. • Utilize Python extensively for data manipulation, analysis, automation, and solution development. • Leverage expertise in Customer Dataflow for building and optimizing scalable data processing workflows. • Apply Human Language Processing (HLP) techniques to extract and analyze information from various text-based data sources. • Implement and integrate Machine Learning/Artificial Intelligence (ML/AI) models for advanced analytics and predictive modeling. • Collaborate with stakeholders to define data requirements and deliver actionable, data-driven solutions. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency