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Natural Language Processing Jobs in Hawaii (NOW HIRING)

Catalight

Speech Language Pathologist

Hilo, HI · On-site

Supports the child and family through the evaluation process. * Administers, interprets, and shares ... Provides services within natural environments (e.g., home, day care and community). * Participates ...

Catalight

Speech Language Pathologist

Hilo, HI

Supports the child and family through the evaluation process. * Administers, interprets, and shares ... Provides services within natural environments (e.g., home, day care and community). * Participates ...

Catalight

Speech Language Pathologist

Hilo, HI · On-site

Supports the child and family through the evaluation process. * Administers, interprets, and shares ... Provides services within natural environments (e.g., home, day care and community). * Participates ...

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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 Aug 14, 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.

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 Hawaii?

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

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

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

Natural Language Processing jobs near you
Infographic showing various Natural Language Processing job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 1% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $55,051 per year, or $26.5 per hour.

Artificial Intelligence and Optimization Engineer

Booz Allen Hamilton, Inc.

Honolulu, HI • On-site

$99K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description

Artificial Intelligence and Optimization Engineer
The Opportunity:
As an experienced engineer, you know that AI is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using AI/ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to solve problems to support the advancement of AI within the Department of War (DoW).
In this role, you'll own and define the direction of mission-critical solutions by applying best-fit AI/ML algorithms, optimization models and technologies. You'll be part of a talented team of engineers across the company and collaborate with business and technical leaders to deliver world-class AI solutions that solve our nation's toughest and hardest problems. Your skills and extensive technical expertise will guide our DoW customers as they navigate the landscape of AI/ML algorithms, tools, and frameworks.
What You'll Work On:
  • Design and implement AI-enabled decision support capabilities, including forecasting, optimization, natural language interfaces, and intelligent workflow automation.
  • Implement pipelines on AWS GovCloud using SageMaker, Step Functions, and Databricks ML Runtime.
  • Build and maintain PySpark and Delta Lake pipelines within a medallion architecture.
  • Develop feature stores aligned to governance standards and perform data profiling and quality validation consistent with government data standards.
  • Maintain model bias assessments and explainability documentation for all production models.
  • Implement model monitoring frameworks for concept drift, data drift, and performance degradation.
  • Produce artifacts and monthly model performance reports in accordance with approved formats.
  • Collaborate with requirements owner and partner agencies to translate mission requirements into model specifications.
  • Coach and mentor junior engineers.

Join us. The world can't wait.
You Have:
  • 5+ years of experience designing, developing, validating, and deploying supervised and unsupervised AI/ML and optimization models delivering in enterprise production environments
  • 5+ years of experience in Python such as scikit-learn, XGBoost, PyTorch, or TensorFlow, PySpark, and SQL
  • Secret clearance
  • Bachelor's degree in a Computer Science, Data Science, Statistics, Applied Mathematics, or Engineering field

Nice If You Have:
  • Experience with Databricks and Palantir products
  • Experience operating within FedRAMP-authorized cloud environments
  • Experience with Terraform, CloudFormation, and CI/CD pipelines such as GitLab CI or AWS CodePipeline
  • Experience with federal or government technology, data, and model standard such as CMMC or RMF
  • Experience with prompt engineering and RAG architecture
  • Knowledge of large language model (LLM) deployment patterns in air-gapped or restricted network environments
  • TS/SCI clearance
  • Master's degree
  • AWS Certified Generative AI Developer - Professional, AWS Certified Machine Learning Engineer, Databricks Certified Professional, or equivalent vendor Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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