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Natural Language Processing Jobs in Hawaii (NOW HIRING)

Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information ...

Support the integration of mission-enabling technologies including robotic process automation (RPA), natural language processing, and predictive analytics. Minimum Qualifications: * Bachelor's degree ...

Data Scientist

Aiea, HI

$141K - $236K/yr

Support the integration of mission-enabling technologies including robotic process automation (RPA), natural language processing, and predictive analytics. Minimum Qualifications: * Bachelor's degree ...

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Natural Language Processing information

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$14

$26

$50

How much do natural language processing jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for natural language processing in Hawaii is $26.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $30.72 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Natural Language Processing (NLP) specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills in machine learning, programming, and critical thinking that are less easily automated. Continuous learning and certification in AI tools and algorithms can help ensure job security in this evolving field.

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.

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.

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 data analysis. Careers in NLP can be rewarding with high demand for expertise and competitive salaries.

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 such as Python, NLP libraries, and machine learning models. NLP roles require strong programming skills and knowledge of linguistics or data science.

Does NLP pay well?

Natural Language Processing (NLP) specialists typically earn competitive salaries, especially with experience in machine learning, deep learning, and programming languages like Python. Salaries vary by industry, location, and level of expertise but generally reflect the high demand for skills in AI and data analysis.
What are the most commonly searched types of Natural Language Processing jobs in Hawaii? The most popular types of Natural Language Processing jobs in Hawaii are:
What job categories do people searching Natural Language Processing jobs in Hawaii look for? The top searched job categories for Natural Language Processing jobs in Hawaii are:
Infographic showing various Natural Language Processing job openings in Hawaii as of June 2026, with employment types broken down into 6% Internship, 76% Full Time, 10% Part Time, and 8% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $55,051 per year, or $26.5 per hour.
AI Modeling Specialist (Senior) with Security Clearance

AI Modeling Specialist (Senior) with Security Clearance

Amentum

On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

*This position is contingent upon contract award* Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in the Information Environment (OIE) under the Apollo program. The selected candidate will design, develop, and deploy advanced artificial intelligence and machine learning models that enable integrated planning, data exploitation, operational analysis, and decision support. This role directly supports automation, scalability, and data-driven decision superiority across global operations. As an AI Modeling Specialist (Senior) you will have the opportunity to: * Serve as the lead AI/ML technical expert supporting data-driven operations across planning, execution, and assessment activities for Combatant Commands (CCMDs). * Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support. * Develop and operationalize AI-enabled capabilities that automate data ingestion, processing, and analysis across structured and unstructured data sources. * Build and maintain scalable model pipelines and architectures supporting cross-domain and enterprise-level data integration. * Apply AI/ML techniques (e.g., predictive modeling, clustering, natural language processing, network analysis) to identify patterns, trends, narratives, and adversary behaviors in the information environment. * Integrate AI/ML outputs into operational workflows, enabling support to planning, integration, data operations, assessment, and operational execution. * Collaborate with planners, Assessment Integrators, Data Scientists, and operational staff to translate analytic outputs into actionable insights for decision-makers. * Develop and support AI-enabled dashboards, decision-support tools, and analytic platforms that provide real-time or near-real-time insights. * Support the development of reusable models and frameworks that can scale across multiple CCMDs and mission sets. * Ensure models are transparent, explainable, and aligned to mission requirements, including measurement of effectiveness and operational impact (ROI-informed outputs). Required Qualifications: * Must have an active Top-Secret security clearance and be SCI eligible. Note: US Citizenship is required to obtain a Top-Secret Clearance. * Bachelor's degree in data science, computer science, artificial intelligence, machine learning, mathematics, or related technical field with 8+ years of experience (advanced degree equivalency applies) * Demonstrated experience developing and deploying AI/ML models in operational or mission-focused environments * Strong proficiency in Python (or similar), including AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Experience applying advanced analytics, machine learning, and statistical modeling techniques to large and complex datasets * Experience developing and managing data pipelines, model pipelines, and cloud-based architectures (AWS, Azure, or equivalent) * Experience integrating multi-source data (structured, semi-structured, unstructured) into analytic models * Experience applying AI/ML to information environment, intelligence, cyber, or national security problem sets * Demonstrated ability to translate complex AI/ML outputs into clear, actionable insights for operational decision-makers * Experience supporting data-driven decision support, operational analysis, or mission-focused analytics environments Preferred Qualifications: * Advanced degree (MS or PhD) in AI, machine learning, data science, or related field * Experience developing AI-enabled automation frameworks or platforms supporting mission workflows * Experience applying natural language processing (NLP), social media analytics, or narrative analysis in OIE contexts * Experience implementing data standardization, ontology, or schema alignment frameworks for enterprise analytics * Experience supporting cross-CCMD or distributed data environments at scale * Experience integrating AI/ML solutions into operational systems (e.g., C2IE, Maven or similar platforms) * Experience supporting campaign assessment, MOP/MOE enablement, or ROI analysis through advanced analytics * Experience working in joint, interagency, or coalition operational environments * Demonstrated ability to develop reusable, scalable AI/ML solutions across multiple mission areas Compensation Details:
$120,000 - 170,000 The compensation range or hourly rate listed for this position is provided as a good-faith estimate of what the company intends to offer for this role at the time this posting was issued. Actual compensation may vary based on factors such as job responsibilities, education, experience, skills, internal equity, market data, applicable collective bargaining agreements, and relevant laws. Benefits Overview: Our health and welfare benefits are designed to support you and your priorities. Offerings include: * Health, dental, and vision insurance * Paid time off and holidays * Retirement benefits (including 401(k) matching) * Educational reimbursement * Parental leave * Employee stock purchase plan * Tax-saving options * Disability and life insurance * Pet insurance Note: Benefits may vary based on employment type, location, and applicable agreements. Positions governed by a Collective Bargaining Agreement (CBA), the McNamara-O'Hara Service Contract Act (SCA), or other employment contracts may include different provisions/benefits. Original Posting:
06/26/2026 - Until Filled
Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters .