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Natural Language Processing Jobs in Nevada (NOW HIRING)

Pwc

AI Engineer

Las Vegas, NV · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Las Vegas, NV · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... natural language processing and text analytics for innovative AI applications - Building and maintaining data infrastructure to support AI-driven automation - Mentoring junior team members and ...

SNC-Lavalin

AI Solutions Software Developer

Henderson, NV

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Use machine learning, natural language processing, OCR, automation, Generative AI, and model-integration techniques to support project delivery * Evaluate whether a use case is best solved through ...

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Natural Language Processing information

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$14

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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 Nevada is $25.94, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $30.10 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 Nevada?

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

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

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

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

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

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $53,956 per year, or $25.9 per hour.

AI/ML Architect - Las Vegas, NV - Long term contract opportunity

Zodiac Solutions

Las Vegas, NV • On-site

Contractor

Re-posted 8 days ago

Job description

Position:-  AI/ML Architect

Location:- Las Vegas, NV ( 3 days hybrid in week)

Duration: Long term contract opportunity

Required Exp: 15+ years

Job Description:

Responsibilities: 
•  Design, develop, and implement Generative AI models leveraging RAG techniques to improve the performance of AI-driven applications.
•  Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions that meet business objectives.
•  Optimize and fine-tune existing AI models for enhanced accuracy and efficiency.
•  Conduct experiments and analyze results to iterate on model architecture and training strategies.
•  Stay updated with the latest advancements in AI, machine learning, and RAG methodologies to drive innovation within the team.

Requirements: 
•  Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
•  Proven experience in developing Generative AI models, with a strong understanding of RAG programming techniques.
•  Proficiency in programming languages such as Python, Java, or similar.
•  Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
•  Strong understanding of natural language processing (NLP) concepts and techniques.
•  Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) is a plus.
•  Experience with generative AI platforms (e.g., Kore.ai, lightningai, evidentlyai etc.,) is a plus
 
Thanks,
Sanjay Kumar
sanjay.kumar@zodiac-solutions.com