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Natural Language Processing Jobs in Utah (NOW HIRING)

Stackruit Ltd.

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

Expertise in AI, machine learning, and natural language processing (NLP). * Strong communication and collaboration skills. Bonus Points for: * Experience with large language models (LLMs) and prompt ...

Pwc

AI Engineer

Salt Lake City, UT · On-site

$50K - $112K/yr

... natural language processing tools like NLTK for text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and ...

Replit

Sr. Manager, Business Development

Salt Lake City, UT · On-site

$200K - $240K/yr

... using natural language. In this role you will... * Build, lead, and scale a high-performing team of Business Development Representatives * Develop and implement BDR processes, playbooks, and best ...

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 ...

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How much do natural language processing jobs pay per hour?

As of Aug 14, 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.

What are the key skills and qualifications needed to thrive in natural language processing, 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?

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?

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 strong job prospects, competitive salaries, and opportunities to work with machine learning, data analysis, and programming languages like Python. Success in NLP careers often requires a background in computer science, linguistics, or related fields, along with skills in data handling and model development.

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 information extraction, often using tools like Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $48,237 per year, or $23.2 per hour.

Bilingual NLP Engineer (Japanese)- Remote

André Global, Inc.

Salt Lake City, UT • On-site, Remote

Full-time

Re-posted 13 days ago

Job description

Role Overview
As an NLP Engineer , you will play a pivotal role in the development and
enhancement of NLP components integral to our products. We are seeking native speakers
proficient in Japanese as part of our Voice team to work on state-of-the-art voice modelling
and machine learning projects.
Key Responsibilities
Must-Haves
• Native or Near-Native Japanese required
• Willingness to engage in hands-on data work, including annotation and transcription
tasks
• Demonstrate exceptional knowledge of linguistics, including morphology, syntax, and
phonetics & phonology
• Possess a deep understanding of phonetic alphabets and fundamental concepts in
natural language processing (NLP) with a focus on its application in text-to-speech
(TTS) technologies
• Proficient in text manipulation, lexical analysis, and data processing, with basic
scripting skills, preferably in Python.
• Ability to conduct evaluations of various models and data sets, measure
improvements, and document findings effectively
• Capable of writing specifications for task automation and tool development,
contributing to process efficiency
Good-to-Haves
• Prior experience in a software development environment, collaborating closely with
engineering teams
• Familiarity with researching resources such as data repositories and code libraries to
support project requirements
• Familiarity in software issue analysis and troubleshooting quality issues in
speech-related applications
• Interest in Audio (We are an AI Voice & Audio Automation Company)
• Fluency in multiple languages.
• MSc/Ph.D. in a relevant field.

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