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Internship Natural Language Processing Jobs in Virginia

SAIC

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 ...

SAIC

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 ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

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 ...

3B Staffing LLC

Agentic AI Engineer

Reston, VA

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 ...

3B Staffing LLC

Agentic AI Engineer

Reston, VA

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 ...

3B Staffing LLC

Data scientist

Reston, VA

... 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:

3B Staffing LLC

Data scientist

Reston, VA

... 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:

Leidos

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 ...

Leidos

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 ...

Rividium Inc

Data Scientist- Senior

Quantico, VA · On-site

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

Rividium Inc

Data Scientist- Senior

Quantico, VA · On-site

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

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All JobsNatural Language Processing JobsInternship Natural Language Processing JobsInternship Natural Language Processing Jobs in Virginia

Internship Natural Language Processing information

What is an internship in natural language processing?

An Internship in Natural Language Processing (NLP) is a temporary position, often for students or recent graduates, where you gain hands-on experience working with technologies that enable computers to understand and generate human language. Interns in NLP typically assist with data collection, text analysis, model development, and research projects using machine learning and linguistic techniques. These internships help build foundational skills in programming, data science, and AI, and often require familiarity with languages like Python and libraries such as NLTK or spaCy. Through mentorship and real-world projects, interns learn about the latest advancements in NLP and build a portfolio that prepares them for future roles in AI and computational linguistics.

What types of projects can I expect to work on during a natural language processing internship?

As an NLP intern, you can expect to work on projects such as building and evaluating language models, developing text classification or sentiment analysis tools, or improving chatbots and search engines. You may also handle tasks like data preprocessing, annotation, and experimenting with state-of-the-art algorithms under the guidance of experienced researchers or engineers. Interns often collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver solutions that address real-world language challenges. This hands-on experience not only builds your technical skills but also provides insight into how NLP is applied in an industry setting.

What are the key skills and qualifications needed to thrive as an internship in natural language processing?

To thrive in a Natural Language Processing (NLP) internship, you generally need a solid background in computer science, mathematics, and linguistics, often supported by coursework or experience in machine learning and programming languages such as Python. Familiarity with NLP frameworks (like NLTK, spaCy, or Hugging Face), version control systems, and tools such as TensorFlow or PyTorch is typically expected. Strong analytical thinking, curiosity, and effective communication help interns stand out when tackling complex language challenges and collaborating with cross-functional teams. These skills are crucial for contributing to innovative NLP projects, understanding nuanced language data, and successfully adapting to evolving technical requirements.

What is the difference between Internship Natural Language Processing vs Data Analyst Intern?

AspectInternship Natural Language ProcessingData Analyst Intern
Required SkillsProgramming (Python), NLP libraries, basic ML conceptsExcel, SQL, data visualization tools
Work EnvironmentTech companies, research labs, AI startupsBusiness, finance, marketing sectors
Industry UsageAI, machine learning, NLP projectsData analysis, reporting, business insights
Common Search IntentLearning NLP, AI internshipsData analysis internships, business intelligence

Internship Natural Language Processing focuses on developing skills in NLP techniques, machine learning, and programming, often within tech or research environments. In contrast, Data Analyst Internships emphasize data manipulation, visualization, and reporting skills for business insights. Both roles require analytical skills but differ in technical focus and industry application.

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 cities in Virginia are hiring for Internship Natural Language Processing jobs?

Cities in Virginia with the most Internship Natural Language Processing job openings:

Internship Natural Language Processing jobs near you

Sr. AI Platform Developer - Python & ML

1 point system

Herndon, VA • On-site

$124K - $168K/yr

Contractor

Re-posted 20 days ago

Job description

  • Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable.
  • Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.
  • AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
  • Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases.
  • Big Data Technologies: Familiarity with platforms like Apache Spark and OpenSearch is often necessary for handling large-scale data.
  • Mathematics and Statistics: A strong foundation in linear algebra, calculus, probability, and statistics is fundamental.
  • 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 of cloud platforms (AWS, GCP, Azure) and MLOps principles is vital for deploying and managing AI models.