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Natural Language Processing Jobs in Arizona (NOW HIRING)

Forhyre

Prompt Engineers

Phoenix, AZ

Stay up-to-date with the latest advancements in natural language processing and AI technologies. * Collaborate with cross-functional teams to integrate prompts into AI applications seamlessly.

Intraedge

Gen AI/ML engineer

Phoenix, AZ · On-site

Strong knowledge of machine learning, deep learning, natural language processing, computer vision, and other AI domains. Experience in prompt engineering, data preprocessing, model fine-tuning, and ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Experience with Natural Language Processing NLP * Familiarity with geospatial data and mapping tools * Knowledge of Monte Carlo simulations and stochastic modeling * Experience with Git and CICD ...

Conch Technologies Inc

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Hands-on experience with AI/ML and Natural Language Processing (NLP) * Experience working with GitHub , GitHub Actions , and CI/CD pipelines * Experience with Five9 Contact Center Platform

Conch Technologies

AI/ML Engineer

Phoenix, AZ · On-site

Hands-on experience with AI/ML and Natural Language Processing (NLP) * Experience working with GitHub , GitHub Actions , and CI/CD pipelines * Experience with Five9 Contact Center Platform

New

Forhyre

Tech Lead - Conversational AI

Phoenix, AZ

In-depth knowledge of natural language processing (NLP), machine learning (ML), and deep learning techniques. * Experience with popular conversational AI platforms and frameworks such as Dialogflow ...

IntraEdge

Architect

Phoenix, AZ

$63 - $83/hr

... natural language processing, computer vision, or reinforcement learning. • Experience in working with large and complex data sets, and using cloud platforms, such as AWS, Azure, or Google Cloud ...

Forhyre

AI Cloud Solutions Director

Phoenix, AZ

Deep understanding of AI technologies, such as machine learning, natural language processing, and computer vision. * Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud.

State Farm

Lead Data Scientist - Gen AI

Tempe, AZ

It also hosts centers of excellence for natural language processing, experimental design, generative AI, & data science training/research. At State Farm, we believe in fostering professional growth ...

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How much do natural language processing jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for natural language processing in Arizona is $23.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $27.55 per hour, depending on experience, location, and employer.

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.

Will AI replace NLP?

As a natural language processing (NLP) professional, AI is a tool that enhances NLP capabilities rather than replacing the field entirely. Advances in machine learning and deep learning continue to improve NLP applications, but human expertise remains essential for developing, training, and fine-tuning these systems. NLP specialists are expected to adapt and work alongside AI technologies to create more accurate and context-aware language models.

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.

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 like Python, NLP libraries, and machine learning techniques. NLP roles require strong programming skills and knowledge of linguistics or data science.

What jobs are there in NLP?

Jobs in Natural Language Processing (NLP) include roles such as NLP Engineer, Data Scientist, Machine Learning Engineer, Computational Linguist, and Research Scientist. These positions typically require skills in programming, machine learning, and linguistics, and often involve working with tools like Python, TensorFlow, or spaCy to develop language models and algorithms.

Is NLP 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.
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What cities in Arizona are hiring for Natural Language Processing jobs? Cities in Arizona with the most Natural Language Processing job openings:
Natural Language Processing jobs near you
GenAI with Chatbot

GenAI with Chatbot

Donato Technologies, Inc

Phoenix, AZ • On-site

Other

Posted 6 days ago

Job description

GenAI with Chatbot
Phoenix, Arizona
Job description

We are seeking an experienced AI Architect to lead the design, development, and implementation of an advanced internal-facing assistant solution. The ideal candidate will have a strong background in architecture, product evaluation, and hands-on implementation experience with AI-powered assistants similar to Glean or Rogo.

Key Responsibilities:

Design and architect a scalable, secure, and efficient internal assistant solution using cutting-edge AI and natural language processing technologies

Develop proof-of-concepts and prototypes to validate architectural decisions

Lead the integration of the chatbot with internal systems, databases, and APIs

Collaborate with cross-functional teams to gather requirements and ensure alignment with business objectives

Implement best practices for AI model deployment, monitoring, and continuous improvement

Provide technical leadership and mentorship to the development team

Stay up-to-date with the latest advancements in AI, GenAI, and LLMs, incorporating innovative features into the chatbot architecture

Required Qualifications:

10+ years of experience in software development, with a focus on AI and machine learning

Proven experience architecting and implementing internal-facing AI chatbot solutions similar to Glean or Rogo

Strong hands-on experience with Python, LLMs, and Generative AI technologies

Deep understanding of natural language processing, sentiment analysis, and text generation techniques

Expertise in cloud platforms (AWS, Azure, or GCP) for AI model deployment and scaling

Experience with MLOps practices and tools for model lifecycle management

Strong problem-solving skills and ability to translate complex business requirements into technical solutions

Excellent communication skills to explain technical concepts to both technical and non-technical stakeholders

Skills
Skills

PRIMARY COMPETENCY : Cognitive Services PRIMARY SKILL : AI/ML (Artificial Intelligence & Machine Learning) Algorithms PRIMARY SKILL PERCENTAGE : 60 SECONDARY COMPETENCY : Cognitive Services SECONDARY SKILL : Web Frameworks for Python (Flask & Django) SECONDARY SKILL PERCENTAGE : 40