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Natural Language Processing Jobs in Arizona (NOW HIRING)

Globe Telecom, Inc.

AI Solution Expert

Globe, AZ · On-site

$52.50 - $67.75/hr

Experience in natural language processing, computer vision, and other AI domains. * Expertise in generative AI technologies, such as GANs, VAEs, and transformers. * Experience in solution design ...

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 Sep 14, 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 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.

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.

How to get a job in Natural Language Processing?

To get a job in Natural Language Processing (NLP), candidates typically need a strong background in computer science, linguistics, or related fields, along with proficiency in programming languages like Python and experience with NLP libraries such as NLTK or spaCy. Gaining practical experience through projects, internships, or research, and obtaining relevant certifications can improve employability. A solid understanding of machine learning, deep learning, and data analysis is also beneficial for NLP roles.

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. The demand for NLP professionals is increasing, making it a promising career choice for those interested in AI and language technologies.

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 are the most commonly searched types of Natural Language Processing jobs in Arizona?

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

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

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

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

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

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
Infographic showing various Natural Language Processing job openings in Arizona 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 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $49,377 per year, or $23.7 per hour.

AI Solution Expert

Globe, AZ • On-site

Globe Telecom, Inc.
See more jobs at Globe Telecom, Inc.external

$52.50 - $67.75/hr

Full-time

Posted 26 days ago

Job description

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description The AI Solution Expert assists in the Governance, Design Creation and Review, and Architectural Integrity of AI initiatives across the enterprise. This role balances two critical mandates: acting as a Strategic Reviewer for AI solutions developed by various Business Units (BUs) to ensure alignment with enterprise AI standards, and serving as the Designer for core AI platform capabilities and agents built and owned by the AI Group (AIG). By providing expert guidance and technical oversight, the AI Solution Expert de-risks complex deployments and ensures that AI investments are scalable, secure, and future-proof.

DUTIES AND RESPONSIBILITIES:

  • Architectural Review & Design Authority: Design solutions for AI use cases as needed and assist in reviewing solutions developed by Business Units (BUs). Act as the final gatekeeper to ensure solutions are technically sound, cost-effective, and aligned with enterprise standards.

  • Core Platform Capability Design: Assist in architecting the end-to-end foundational AI capabilities owned by AIG (e.g., centralized LLM gateways, vector databases, and agentic orchestration layers) to be leveraged across the company.

  • Standardization & Scalability Governance: Assist in defining the "Golden Path" for AI deployment, ensuring all BU-led initiatives follow standardized patterns for scalability, reliability, and high-availability infrastructure.

REQUIREMENTS:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

  • Experience: Minimum of 3 years of experience in AI/ML development, with at least 1 year in an architectural role or 1 year experience with deployment.

  • Certifications: Relevant AI/ML certifications are a plus.

  • Portfolio: Demonstrable portfolio of previous AI projects and solutions, particularly those involving generative AI.

Skills

  • Proficiency in AI/ML frameworks (TensorFlow, PyTorch, etc.).

  • Strong programming skills (Python, R, Java, etc.).

  • Experience with big data technologies (Hadoop, Spark).

  • Knowledge of cloud platforms (AWS, Azure, Google Cloud).

  • Understanding of data preprocessing and feature engineering.

  • Experience in natural language processing, computer vision, and other AI domains.

  • Expertise in generative AI technologies, such as GANs, VAEs, and transformers.

  • Experience in solution design, namely able to translate complex business problems and architect end-to-end, production-grade AI systems.

    Equal Opportunity Employer
    Globe's hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
    Globe's Diversity, Equity and Inclusion Policy Commitment can be accessed here

    Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

    Apply