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Natural Language Processing Intern Jobs in Colorado

You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality ...

Developing and executing machine learning and data science experiments, in the domains of natural language processing, computer vision, time series analysis, reinforcement learning, etc. * Evaluating ...

Machine Learning Intern

Denver, CO · On-site

$27 - $42/hr

... natural language Areas of Focus The data science internship is intended to expose the intern to ... development processes and agile/scrum rituals Helping to clarify and prioritize work, define ...

... in natural language processing • Understanding of time-series analysis • Expertise in optimization algorithms Company : With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation ...

Lead the design, development, and implementation of advanced machine learning, generative AI, agentic AI, natural language processing, statistical modeling, and unsupervised learning solutions across ...

Build natural language processing and computer vision solutions for document intelligence, information extraction, semantic search, knowledge discovery, image analysis, and multimodal understanding.

Showing results 21-40

Natural Language Processing Intern information

See Colorado salary details

$9

$18

$25

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

As of Sep 15, 2026, the average hourly pay for natural language processing intern in Colorado is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.24 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 the most commonly searched types of Natural Language Processing jobs in Colorado?

The most popular types of Natural Language Processing jobs in Colorado are:

What are popular job titles related to Natural Language Processing Intern jobs in Colorado?

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

What job categories do people searching Natural Language Processing Intern jobs in Colorado look for?

The top searched job categories for Natural Language Processing Intern jobs in Colorado are:

What cities in Colorado are hiring for Natural Language Processing Intern jobs?

Cities in Colorado with the most Natural Language Processing Intern job openings:

Infographic showing various Natural Language Processing Intern job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $37,849 per year, or $18.2 per hour.

Senior Data Scientist

Englewood, CO

Vizient
Health Care and Social Assistance • 501 - 1,000 employees

$102K - $179K/yr

Full-time

Posted 26 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will develop automated analytics products and conduct sophisticated data analysis to address complex business and client questions. You will design, implement, and deploy advanced data science solutions across multiple projects and domains, translating analytical findings into actionable insights that improve clinical, operational, and economic outcomes. You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality, scalable analytic solutions aligned with organizational objectives.

Responsibilities:

  • Develop and implement advanced machine learning, generative AI, natural language processing, statistical modeling, and unsupervised learning approaches across structured and unstructured data.
  • Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains.
  • Analyze large-scale, high-dimensional datasets using modern programming tools and distributed computing platforms to identify trends and actionable insights.
  • Apply expertise across end-to-end data science workflows, including data discovery, structuring, cleaning, enrichment, feature engineering, modeling, validation, deployment, and insight delivery.
  • Make autonomous analytical and modeling decisions based on project goals, including approach selection, exploratory analysis, model development, and visualization.
  • Translate complex analytical findings into clear insights, dashboards, reports, and presentations for technical and non-technical audiences.
  • Develop and review technical code, apply data science and software development best practices, and provide guidance to other data scientists.
  • Partner with engineering and platform teams to deploy, monitor, and maintain machine learning, generative AI, and other advanced analytics solutions.
  • Apply responsible AI and model governance practices, including documentation, explainability, bias assessment, testing, and validation.
  • Evaluate emerging analytical and AI technologies and collaborate with cross-functional teams to integrate solutions into products, workflows, and business processes.

Qualifications:

  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • Experience with agentic AI concepts and environments, including LLM-based workflows, tool orchestration, retrieval-augmented generation, autonomous workflows, or human-in-the-loop patterns.
  • Experience with statistical modeling, predictive analytics, machine learning, natural language processing, generative AI, and advanced data science methodologies.
  • Proficiency in programming and analytical tools such as Python, R, SQL, SAS, MATLAB, Java, or similar technologies.
  • Experience with end-to-end data science workflows, including data preparation, feature engineering, model development, validation, deployment, and visualization.
  • Experience working with large, complex datasets and integrating data from disparate sources.
  • Experience with cloud-based and distributed data platforms and analytics frameworks such as Databricks, Apache Spark, Hadoop, Tableau, or similar technologies.
  • Experience developing and deploying machine learning, generative AI, or advanced analytics solutions in production environments.
  • Knowledge of responsible AI, model governance, explainability, bias assessment, and validation practices.
  • Strong analytical, problem-solving, communication, and collaboration skills with the ability to convey complex concepts to technical and non-technical clients.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.