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Natural Language Processing Jobs in Utah (NOW HIRING)

University of Utah

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

... natural language processing (NLP)-based chart abstraction. The work will be performed using publicly available data, such as MIMIC-IV, and protected data from the University of Utah Health and the ...

AdvancedMD

RCM AI Enablement Manager

South Jordan, UT · On-site

Familiarity with AI/ML tools such as natural language processing (NLP), robotic process automation (RPA), or predictive analytics * Background in training development or instructional design What ...

Quora

$139K - $168K/yr

Previous industry experience working on natural language processing, language modeling, etc. * Passion for Quora's mission and goals At Quora, we value diversity and inclusivity and welcome ...

Quora

$139K - $168K/yr

Previous industry experience working on natural language processing, language modeling, etc. * Passion for Quora's mission and goals At Quora, we value diversity and inclusivity and welcome ...

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Natural Language Processing information

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$12

$23

$43

How much do natural language processing jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for natural language processing in Utah is $23.19, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $26.92 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

What are the key skills and qualifications needed to thrive in the Natural Language Processing position, and why are they important?

To thrive in Natural Language Processing, you need strong expertise in linguistics, statistics, and machine learning, typically supported by a degree in computer science, computational linguistics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, spaCy, and NLP libraries, as well as certifications in data science or NLP, are valuable assets. Analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are highly desirable. These competencies are essential for developing powerful language models, extracting meaningful insights from data, and delivering effective real-world solutions in language technology.

What are some typical challenges faced by professionals in Natural Language Processing roles?

Professionals in Natural Language Processing (NLP) often encounter challenges such as understanding ambiguities in human language, managing large and unstructured datasets, and keeping up with rapid advances in NLP methodologies. They may also need to fine-tune models for domain-specific contexts and ensure solutions meet ethical and privacy guidelines. Collaboration with data scientists, linguists, engineers, and product teams is common, requiring strong communication skills. Successfully tackling these challenges is a critical part of developing robust NLP applications that add meaningful value to users and businesses.

What is a Natural Language Processing job?

A Natural Language Processing (NLP) job involves developing and improving algorithms that enable computers to understand, interpret, and generate human language. Professionals in this field work on tasks like speech recognition, text analysis, machine translation, and chatbot development. They often use machine learning, deep learning, and linguistic principles to build and refine NLP models. NLP experts commonly work in industries such as healthcare, finance, and technology to enhance communication and automate language-related tasks.

Is Natural Language Processing a good career?

Natural Language Processing (NLP) is a growing field within artificial intelligence that involves developing algorithms to understand and generate human language. It offers opportunities in industries such as tech, healthcare, and finance, often requiring skills in machine learning, programming, and data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

What can I do with Natural Language Processing?

A Natural Language Processing (NLP) professional develops systems that enable computers to understand, interpret, and generate human language. This includes tasks like sentiment analysis, language translation, chatbots, and speech recognition, often using tools such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are the most commonly searched types of Natural Language Processing jobs in Utah? The most popular types of Natural Language Processing jobs in Utah are:
What are popular job titles related to Natural Language Processing jobs in Utah? For Natural Language Processing jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing jobs in Utah look for? The top searched job categories for Natural Language Processing jobs in Utah are:
What cities in Utah are hiring for Natural Language Processing jobs? Cities in Utah with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $48,237 per year, or $23.2 per hour.
Data Science Intern | Fully Remote US

Data Science Intern | Fully Remote US

HireVue Inc

Sandy, UT • On-site, Remote

Part-time

Posted 4 days ago

Job description

Company Description
Hirevue is where hiring happens - transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hirevue's end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.
Job Description
As a Data Science Intern, you will support ongoing research initiatives that keep our enterprise products and our clients' hiring processes on the absolute cutting edge and leverage machine learning to shape the future of hiring.
Partnering closely with our world-class data scientists and cross-functional partners in Product Science and Product and Technology, you will have the opportunity to build, validate, and scale machine learning models and agentic workflows. You will also conduct applied research on systems and processes to continuously advance our natural language processing (NLP) and ethical AI capabilities.
Essential Duties and Responsibilities
Applied Research & Modeling
  • Support ongoing research initiatives that keep us on the cutting edge, including in agentic workflow development
  • Work with machine learning models to build products and conduct research
  • Write code to develop prototypes and utilities to extend or improve our product suite

Data Preparation & Quality
  • Drive the preparation of data used to train deep learning models and score unstructured data
  • Assure quality of our software in terms of content, scoring, and functionality
  • Performance modeling and data analysis

Qualifications
Required
  • Bachelor's degree required, with a Master's degree or PhD in progress in a quantitative/programming field (Computer Science, Statistics, Mathematics, Engineering, Psychology, Economics, Data Science, or related)
  • Understanding of statistics, machine learning, and deep learning fundamentals
  • Proficiency in Python, including common ML libraries (e.g., numpy, pandas, scikit-learn)
  • Experience with version control (e.g., Git)
  • Ability to analyze large datasets and draw meaningful, actionable insights
  • Strong problem-solving skills - able to synthesize information from multiple sources to solve problems
  • Team player with strong collaboration and communication skills; comfortable working closely with data scientists, engineers, and I/O Psychologists
  • Self-motivated and able to work effectively with limited supervision; strong prioritization skills

Preferred
  • Awareness of state of the art methods in machine learning, deep learning, NLP, and/or generative AI
  • Exposure to large language models (LLMs) and generative AI (e.g., prompt engineering, fine-tuning, agentic design patterns, agentic evaluation methods)
  • Familiarity with SQL and database querying
  • Familiarity with cloud platforms (AWS preferred) for ML workflows

Additional Information
All team members at Hirevue are expected to embody our core values, which are the H.E.A.R.T. of Hirevue. They are: Hero for our Customers, Enjoy the Journey, Always do the Right Thing, Reach Forwards, and Take Action and Go.
Hirevue takes security seriously and has measures in place to protect work-related data in a remote setting. Our organization has implemented a BYOD (Bring Your Own Device) policy, HireVue uses Google User Enrollment, which ensures personal apps and data are kept separate from work apps and data should you choose to use your personal device for work purposes. HireVue can manage only the work-related aspects of the device, ensuring privacy for personal data.
Hirevue is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other category protected under the law. HireVue is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. All your information will be kept confidential according to EEO guidelines.
Hirevue is NOT currently hiring in:
AK, HI, IA, ME, MS, NM or WV.
#remote-us

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