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Natural Language Processing Intern Jobs in Pittsburgh, PA

Cadence

Software Engineering Intern

Pittsburgh, PA · On-site

Strongfoundation in machine learning, deep learning, and natural language processing (NLP) and LLM. * Technical Skills * Proficiency in Python and experience with frameworks like PyTorch, TensorFlow ...

Markon

Computer/Data Scientist

West Mifflin, PA

$120K - $145K/yr

Strong background in Natural Language Processing (NLP), including: * Large Language Models (LLMs) * Clustering, vectorization, and embedding methods * Tokenization and prompt engineering * Model ...

Markon

Computer/Data Scientist

West Mifflin, PA · On-site

$120K - $145K/yr

Strong background in Natural Language Processing (NLP), including: * Large Language Models (LLMs) * Clustering, vectorization, and embedding methods * Tokenization and prompt engineering * Model ...

Markon

Computer/Data Scientist

West Mifflin, PA

$128K - $145K/yr

Strong background in Natural Language Processing (NLP), including: * Large Language Models (LLMs) * Clustering, vectorization, and embedding methods * Tokenization and prompt engineering * Model ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

Pwc

AI Engineer

Pittsburgh, PA

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with ...

Alstom

AI & Test Automation Lead

Pittsburgh, PA

$46 - $62.75/hr

Applying AI/ML techniques, such as natural language processing and machine learning, to generate test cases/scripts and improve test generation accuracy., * Refining AI models or collaborating with ...

Alstom

AI & Test Automation Lead

Pittsburgh, PA · On-site

$44 - $60/hr

Applying AI/ML techniques, such as natural language processing and machine learning, to generate test cases/scripts and improve test generation accuracy., * Refining AI models or collaborating with ...

Alstom

AI & Test Automation Lead

Pittsburgh, PA

$44 - $60/hr

Applying AI/ML techniques, such as natural language processing and machine learning, to generate test cases/scripts and improve test generation accuracy., * Refining AI models or collaborating with ...

Cadence

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... and natural language processing (NLP) and LLM. • Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc. • Basic understanding of Retrieval-Augmented ...

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All JobsNatural Language Processing Intern JobsNatural Language Processing Intern Jobs in Pittsburgh, PA

Natural Language Processing Intern information

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

As of Aug 23, 2026, the average hourly pay for natural language processing intern in Pittsburgh, PA 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 popular job titles related to Natural Language Processing Intern jobs in Pittsburgh, PA?

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

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

The top searched job categories for Natural Language Processing Intern jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Natural Language Processing Intern jobs?

Cities near Pittsburgh, PA with the most Natural Language Processing Intern job openings:

Natural Language Processing Intern jobs near you
Infographic showing various Natural Language Processing Intern job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $34,944 per year, or $16.8 per hour.

Software Engineering Intern

Cadence

Pittsburgh, PA • On-site

Full-time

Re-posted 18 days ago

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Basic Requirements:

Educational Background

  • Pursuing or recently completed a degree in Computer Science, Applied Mathematics, Data Science, or a related field.
  • Strongfoundation in machine learning, deep learning, and natural language processing (NLP) and LLM.

Technical Skills

  • Proficiency in Python and experience with frameworks like PyTorch, TensorFlow, SciKit, etc.
  • Basic understanding of Retrieval-Augmented Generation (RAG) and vector databases.
  • Comfortable working with LLM APIs and integrating them into applications.
  • A solid understanding of machine learning concepts (e.g., supervised/unsupervised learning, NLP, computer vision) and algorithms is crucial.
  • Proficiency in Python is essential. C++ also valuable.

Problem-Solving & Collaboration

  • Ability to work in a fast-paced research and development environment.
  • Strong analytical thinking and debugging skills.
  • Experience with rapid prototyping in open-source AI/ML projects.
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