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Internship Nlp Engineer Jobs (NOW HIRING)

Athena LLC

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... or internship experience involving machine learning or AI (especially work with LLMs or NLP ...

Tata Consultancy Services

Agentic AI Engineer

Atlanta, GA

$110K - $132K/yr

... NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

Tata Consultancy Services

Agentic AI Engineer

Edison, NJ

$116K - $139K/yr

... NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH

$105K - $127K/yr

... NLP, or computer vision tasks. • Write clean, efficient, and well-documented Python code for data ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

The Pennsylvania State University

$15/hr

Advance interns will work on AI-related projects in an Agile software development team ... Developer : Python and one or more of the following AI modeling: Natural Language Processing (NLP ...

Parspec

Machine Learning Engineer - 1

San Mateo, CA · On-site

$13/hr

Build and improve NLP pipelines for construction domain tasks like entity extraction ... Experience: 0-2 years in ML/AI (internships, academic projects, or early-career roles count) * ML ...

Argyle Infotech

Junior AI Engineer

Richmond, VA · On-site

Internship or prior work experience in AI or related fields. * Exposure to cloud platforms (e.g ... Understanding of natural language processing (NLP) or computer vision (CV). * Familiarity with ...

SUSE RGS

Support Engineering Intern

Reston, VA · On-site

$17.50 - $22.75/hr

This is a hands-on, technical internship at the intersection of enterprise support engineering ... Machine Learning, or NLP * Demonstrated understanding of cloud native concepts: containers ...

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Internship Nlp Engineer information

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How much do internship nlp engineer jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for internship nlp engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What types of projects and tasks can I expect to work on as an NLP Engineer intern?

As an NLP Engineer intern, you can expect to work on a range of projects involving text data processing, natural language understanding, and machine learning model development. Typical tasks might include data cleaning, annotating datasets, building and evaluating language models, and assisting with the integration of NLP solutions into existing applications. You'll likely collaborate closely with data scientists, software engineers, and senior NLP specialists, gaining exposure to real-world challenges such as handling noisy data and optimizing model performance. This hands-on experience provides valuable insights into both the technical and collaborative aspects of NLP engineering.

What does an Internship NLP Engineer do?

An Internship NLP (Natural Language Processing) Engineer assists with developing and optimizing algorithms that enable computers to understand and process human language. Their tasks often include collecting and cleaning text data, experimenting with machine learning models, and supporting the implementation of NLP solutions such as chatbots, sentiment analysis tools, or language translators. Interns typically work under the guidance of senior engineers and researchers, gaining hands-on experience with popular libraries like NLTK, spaCy, or Hugging Face Transformers. This role is ideal for students or recent graduates interested in applying their programming and linguistic skills to real-world problems.

What are the key skills and qualifications needed to thrive as an Internship NLP Engineer, and why are they important?

To thrive as an Internship NLP Engineer, you need a solid understanding of natural language processing concepts, programming skills (especially in Python), and familiarity with machine learning algorithms, typically supported by coursework or projects in computer science or related fields. Proficiency with NLP libraries like NLTK, spaCy, or Hugging Face Transformers, as well as experience using tools such as TensorFlow or PyTorch, is highly valuable. Strong problem-solving abilities, curiosity, and communication skills help you collaborate effectively and learn quickly in a team environment. These competencies are crucial for developing, testing, and refining NLP models that address real-world language challenges.
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Internship Nlp Engineer jobs near you
Infographic showing various Internship Nlp Engineer job openings in the United States as of May 2026, with employment types broken down into 13% Internship, 7% Full Time, 60% Part Time, and 20% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Natural Language Processing and Large Language Models Developer - eFinancialCareers

eFinancialCareers

Manhattan, NY

Full-time

Posted 21 days ago

Job description

Join a dynamic team of innovative scientists, technologists, and scholars dedicated to transcending conventional methods. We aim to address intricate economic challenges and improve on alpha using the cutting-edge techniques of Natural Language Processing and Large Language Models

Position Overview:

Looking for visionary NLP and LLM focused scientists to harness the power of language to decode complex financial problems and manage vast volumes of textual data.

Key Responsibilities:

  1. Develop, and transition from concept to a functional prototype and final NLP or LLM product.
  2. Immerse yourself in a research-oriented environment, where you'll craft code, experiment with advanced NLP and LLM tools, and refine techniques to extract insights from financial narratives.
  3. Collaborate closely with various teams within our organization to seamlessly integrate your linguistic intelligence solutions into our products.
  4. Stay connected to the broader linguistic research community by fostering partnerships both internally and externally, and making a mark at relevant conferences.

Qualifications & Experience:

  1. Earned an advanced degree in Computer Science, Linguistics, Engineering, or another relevant field with an emphasis on NLP and LLM.
  2. Strong programming proficiency in languages such as Python, C++, Tensorflow, PyTorch, or similar.
  3. Past roles or internships centered around NLP, LLM, or related linguistic computational models.
  4. A foundation in language models, especially concerning extensive and multifaceted textual datasets, and an interest in applying these to financial challenges.
  5. Credible research contributions, preferably with publications in esteemed platforms focused on NLP or LLM such as ACL, EMNLP, or similar.
  6. Familiarity with cloud ecosystems and managing multi-machine configurations.
  7. Active involvement in the open-source linguistic community.

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