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Internship Nlp Engineer Jobs (NOW HIRING)

Software Engineer, NLP

Cambridge, MA

$125K - $150K/yr

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a ... Recommendation from a previous employer, internship supervisor, or a professor * Great ...

OR · On-site

$35 - $43/hr

This is a project-based internship. You will be paired with a dedicated mentor and given a high ... Collaborate with senior engineers, product managers, and domain experts to understand our customers ...

Internship experience, academic work, bootcamp projects, portfolio projects, or open-source ... Foundational understanding of machine learning, deep learning, NLP, data processing, and model ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... PySpark * Hadoop NLP & Advanced Techniques (Preferred) * Natural Language Processing (NLP)

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... PySpark * Hadoop NLP & Advanced Techniques (Preferred) * Natural Language Processing (NLP)

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 ...

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... PySpark * Hadoop NLP & Advanced Techniques (Preferred) * Natural Language Processing (NLP)

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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.
More about Internship Nlp Engineer jobs
What cities are hiring for Internship Nlp Engineer jobs? Cities with the most Internship Nlp Engineer job openings:
What are the most commonly searched types of Nlp Engineer jobs? The most popular types of Nlp Engineer jobs are:
What states have the most Internship Nlp Engineer jobs? States with the most job openings for Internship Nlp Engineer jobs include:
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.
Software Engineer, NLP

$125K - $150K/yr

Other

Posted 19 days ago


Job description

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a wide variety of mission-critical applications around the world and an innovative SAAS API? Do you want to be part of a team with high standards and a great atmosphere? We'd love to hear from you!
Responsibilities
  • Implement production-quality Java, Python and Scala code
  • Translate NLP research ideas into maintainable, scalable software
  • Collaborate with an Agile team both to research new ideas and to develop them into products
  • Design, build and evaluate statistical models and rule-based algorithms for NLP
Qualifications
  • Bachelor's degree in a relevant subject area (e.g., computer science, electrical engineering, statistics)
  • Proficiency in object oriented programming in Java or Scala; scripting in Python or Bash
  • Exposure or coursework in machine learning, natural language processing or linguistics
  • Strong grasp of CS fundamentals, algorithms, data structures, and design patterns
  • Recommendation from a previous employer, internship supervisor, or a professor
  • Great communication and interpersonal skills