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Natural Language Processing Intern Jobs in Maryland

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 ...

ICT Mondial Inc

Senior Data Scientist

Woodlawn, MD · On-site

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 ...

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All JobsNatural Language Processing Intern JobsNatural Language Processing Intern Jobs in Maryland

Natural Language Processing Intern information

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

As of Aug 19, 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:

Natural Language Processing Intern jobs near you
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.

ME00573-Data Scientist 3

Momentum Engineering, Inc.

Fort George G Meade, MD • On-site

$135K - $180K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 20 days ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a Data Scientist to support the development of advanced Natural Language Processing (NLP) solutions focused on the automated processing and analysis of spoken and written language data
  • This role is responsible for building and improving models that accurately tokenize language data and annotate linguistic features, enabling scalable and high-quality language understanding capabilities
  • The position involves evaluating model performance against human-generated annotations to continuously enhance accuracy and effectiveness

Primary Responsibilities
  • Develop and implement NLP models to automatically tokenize language data from both spoken and written sources
  • Design and build automated solutions for annotating language data with parts-of-speech (POS) tagging and linguistic features
  • Train, test, and validate machine learning models for language processing tasks
  • Evaluate and improve model performance by benchmarking against human-generated annotations for speech and text data
  • Process and analyze large volumes of structured and unstructured language data
  • Develop data pipelines to support ingestion, preprocessing, and transformation of linguistic datasets
  • Collaborate with cross-functional teams to integrate NLP models into production systems
  • Perform error analysis and model tuning to improve accuracy and robustness
  • Document methodologies, model performance, and data processing workflows

Required Qualifications
  • Must have active Top Secret/SCI clearance with Full Scope Polygraph (MD Customer)
  • Master's degree with 6 years of relevant experience, Bachelor's Degree with 8 years of relevant experience, or Associate's Degree with 10 years of in-depth relevant experience that is clearly related to the position
  • Experience with Natural Language Processing (NLP) and machine learning techniques
  • Strong proficiency in Python and relevant NLP/ML libraries (e.g., NLTK, spaCy, Hugging Face, or similar)
  • Experience developing models for tokenization, text processing, and linguistic annotation
  • Experience working with speech and/or text data
  • Understanding of model evaluation techniques, including comparison to ground truth or human-labeled data
  • Strong analytical and problem-solving skills

Desired Qualifications
  • Experience with part-of-speech tagging and linguistic modeling
  • Experience working with multilingual or speech-based datasets
  • Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Experience deploying NLP models in production environments
  • Knowledge of data pipelines and large-scale data processing

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
135,000 - 180,000 USD per year (Ft. Meade MD)

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