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Nlp Jobs in Nevada (NOW HIRING)

Build best-practice driven data ingestion, develop tooling for increasing scale, accuracy, and automation in data pipeline, to integrate with decisioning, AI/NLP and consuming systems * Ensure data ...

Natural Language Processing (NLP) & LLMs * Generative AI (diffusion models, fine-tuning, RAG) * AI Engineering & MLOps * AI Engineering & MLOps * Model training, deployment, monitoring, and ...

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Nlp information

See Nevada salary details

$38.2K

$125K

$200.1K

How much do nlp jobs pay per year?

As of Aug 22, 2026, the average yearly pay for nlp in Nevada is $124,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $138,500.00 per year, depending on experience, location, and employer.

What is an NLP?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What does an NLP specialist do?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

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

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

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 linguistics. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.

What qualifications do I need for natural language processing?

To work in natural language processing (NLP), candidates typically need a bachelor's degree in computer science, linguistics, or a related field, with many roles requiring a master's or Ph.D. in a relevant area. Strong programming skills in languages like Python, experience with NLP libraries such as NLTK or spaCy, and knowledge of machine learning concepts are essential. Familiarity with data preprocessing, statistical analysis, and tools like TensorFlow or PyTorch also enhances job prospects.
Infographic showing various Nlp job openings in Nevada as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,985 per year, or $60.1 per hour.

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

Zodiac Solutions

Las Vegas, NV • On-site

Contractor

Re-posted 16 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