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Natural Language Processing Engineer Jobs in Utah

Specialist Systems Engineer - DMS Engineer Job Code: 35225 Job Location: Salt Lake City, Utah Job ... Implement natural language processing (NLP) tools to extract relevant obsolescence information from ...

... and natural language inputs. * Industrial System Integration: Create software solutions that ... complex automation processes. Requirements * Exceptional Engineering Skills: Possess high ...

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Natural Language Processing Engineer information

See Utah salary details

$45.1K

$83.8K

$129.7K

How much do natural language processing engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for natural language processing engineer in Utah is $83,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $93,800.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Natural Language Processing Engineer?

A typical day for a Natural Language Processing Engineer involves developing, testing, and refining language models and algorithms, often using real-world datasets. You might collaborate with data scientists, product managers, and software engineers to integrate NLP solutions into applications or address complex language-related challenges. Regular responsibilities include data preprocessing, feature engineering, model evaluation, and troubleshooting performance issues. Most NLP engineers work in a team-oriented, agile environment where clear communication and iterative development are key. This structure offers a dynamic workflow and opportunities to learn from others while making a tangible impact on the products you help build.

What does a Natural Language Processing Engineer do?

A Natural Language Processing (NLP) Engineer develops algorithms and models that enable machines to understand, interpret, and generate human language. They work with large datasets, train machine learning models, and fine-tune language models for applications like chatbots, speech recognition, and text analysis. NLP Engineers typically use programming languages like Python and frameworks such as TensorFlow, PyTorch, or spaCy. Their work involves data preprocessing, model training, and optimizing performance to enhance the accuracy and efficiency of language-based AI systems.

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

To thrive as a Natural Language Processing Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning and linguistics, and typically a degree in computer science, computational linguistics, or a related field. Familiarity with NLP libraries such as NLTK, spaCy, TensorFlow, or PyTorch as well as experience with cloud platforms and version control is often required. Analytical thinking, collaboration, and effective communication are important soft skills in this role. These competencies ensure the ability to build robust language models, contribute to innovative projects, and work efficiently in dynamic, cross-functional teams.

What are the most commonly searched types of Natural Language Processing Engineer jobs in Utah? The most popular types of Natural Language Processing Engineer jobs in Utah are:
What are popular job titles related to Natural Language Processing Engineer jobs in Utah? For Natural Language Processing Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Engineer jobs in Utah look for? The top searched job categories for Natural Language Processing Engineer jobs in Utah are:
Infographic showing various Natural Language Processing Engineer job openings in Utah as of May 2026, with employment types broken down into 65% Full Time, 30% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $83,770 per year, or $40.3 per hour.

Bilingual NLP Engineer (Japanese)- Remote

André Global, Inc.

Salt Lake City, UT • On-site, Remote

Full-time

Posted 7 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.