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Natural Language Processing Jobs in Hawaii (NOW HIRING)

Cymertek Corporation

Data Scientist

Honolulu, HI · On-site

Citizenship) Preferred : • Knowledge of deep learning frameworks • Familiarity with cloud platforms • Experience with A/B testing • Proficiency in natural language processing • ...

Cymertek Corporation

Data Scientist

Honolulu, HI · On-site

Citizenship) Preferred : • Experience with cloud platforms (e.g., AWS, GCP) • Knowledge of deep learning techniques • Expertise in natural language processing (NLP) • Understanding of ...

MANTECH

Data Scientist with Security Clearance

Aiea, HI · On-site

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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How much do natural language processing jobs pay per hour?

As of Sep 5, 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 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 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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% 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.

Data Scientist

Cymertek Corporation

Honolulu, HI • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Cymertek Corporation is seeking a curious and innovative Data Scientist to join their team and help transform data into actionable insights. In this role, you will use advanced analytics and machine learning models to uncover trends, solve complex problems, and support strategic decision-making.
Responsibilities:
• Analyze large datasets
• Build predictive models
• Design data-driven solutions
• Present insights to stakeholders
• Clean and preprocess raw data
• Collaborate with cross-functional teams
Qualifications:
Required:
• Bachelor's Degree
• Proficiency in Python or R
• Expertise in machine learning
• Data visualization skills
• Statistical analysis
• SQL querying
• Experience with big data tools
• Analyze large datasets
• Build predictive models
• Design data-driven solutions
• Present insights to stakeholders
• Clean and preprocess raw data
• Collaborate with cross-functional teams
• TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
Preferred:
• Knowledge of deep learning frameworks
• Familiarity with cloud platforms
• Experience with A/B testing
• Proficiency in natural language processing
• Understanding of time-series analysis
• Expertise in optimization algorithms
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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