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Internship Nlp Engineer Jobs in Utah (NOW HIRING)

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Exposure to NLP, Computer Vision, or Generative AI is a plus * Experience with Jupyter Notebooks ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Exposure to NLP, Computer Vision, or Generative AI is a plus * Experience with Jupyter Notebooks ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Strong Python programming skills * Understanding of ML algorithms like linear regression ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Strong Python programming skills * Understanding of ML algorithms like linear regression ...

Internship Nlp Engineer information

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

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?

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.
What are the most commonly searched types of Nlp Engineer jobs in Utah? The most popular types of Nlp Engineer jobs in Utah are:
What cities in Utah are hiring for Internship Nlp Engineer jobs? Cities in Utah with the most Internship Nlp Engineer job openings:
Infographic showing various Internship Nlp Engineer job openings in Utah as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Data/Ai Engineer Intern

Jade Global

Ogden, UT • On-site

Full-time

Re-posted 25 days ago


Job description

Data/Ai Engineer Intern1
Data/AI Engineer in the Data & Ai Team
Launch Your Career with Jade Global
Are you ready to start a career where your talents are recognized, your growth is supported, and your work truly matters?
At Jade Global, we're looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is a plus, it's not required - what matters most is your motivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.
You'll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you'll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3-5 years.
This is not an internship - it's a full-time opportunity with a competitive salary, full benefits, and generous performance-based compensation. You'll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond.
We're seeking the next generation of leaders, problem-solvers, and innovators from top universities around the world - people who are passionate about technology, eager to take ownership, and committed to excellence.
Ready to build your future with us? Let's get started.
Responsibilities include:
  • Collecting and documenting business analytics requirements
  • Analyzing complex data using AI tools and frameworks
  • Exploring the use of LLMs, computer vision, and generative AI to address client business challenges
  • Data collection, preparation, and analysis.
  • Model development and testing.
  • Authoring technical documentation.
  • Presenting solutions to key stakeholders.

Candidate Profile:
  • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field
  • Strong Python programming skills
  • Understanding of ML algorithms like linear regression, classification, clustering, etc.
  • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch
  • Good understanding of data structures and algorithm
  • Desire to learn
  • Strong analytical thinking and problem-solving and analytical skills.
  • Independent person able to manage self and activities within a schedule
  • Able to facilitate conversations and drive decisions
  • Passionate
  • Creative thinker
  • Takes initiative and ownership
  • Strong team player
  • Strong communicator
  • Interest in learning and growing both technically and as a person
  • Exposure to NLP, Computer Vision, or Generative AI is a plus
  • Experience with Jupyter Notebooks and Git is a plus
  • Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus

What You'll Gain:
  • Mentoring and learning from AI/ML professionals
  • Collaborative and innovation-driven environment
  • Strong understanding of business analytic needs
  • Ability to translate customer requirements into visible results through leading edge technology
  • Deep understanding of proven analytics and AI tools
  • Career growth opportunities within the Data & AI team