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Nlp Jobs in Hawaii (NOW HIRING)

Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data * Create clear, executive-ready ...

Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data * Create clear, executive-ready ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data * Prepare literature review ...

New

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

SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML ...

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Nlp information

See Hawaii salary details

$39K

$127.5K

$204.2K

How much do nlp jobs pay per year?

As of Sep 4, 2026, the average yearly pay for nlp in Hawaii is $127,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $141,300.00 per year, depending on experience, location, and employer.

What is an NLP?

An NLP (Natural Language Processing) job involves developing algorithms and models that enable computers to understand, interpret, and generate human language. NLP professionals work on tasks such as text analysis, speech recognition, machine translation, and chatbot development. They typically use machine learning, deep learning, and linguistic techniques to improve natural language comprehension in applications like virtual assistants, search engines, and sentiment analysis tools.

What does an NLP specialist do?

NLP specialists commonly work on projects such as building chatbots, developing text classification models, automating document analysis, or improving search engines and recommendation systems. Daily tasks can include annotating data, training and evaluating models, collaborating with data engineers and product teams, and staying up-to-date with the latest research. You'll often be involved in both the development and deployment of language-based AI solutions, which might include integrating APIs, optimizing performance, or addressing real-world language challenges. Collaboration and communication are key, as NLP projects typically involve cross-functional teams spanning engineering, data science, and business stakeholders.

What are the key skills and qualifications needed to thrive in the NLP position, and why are they important?

To thrive in Natural Language Processing (NLP), you need a solid background in computer science, linguistics, and mathematics, often supported by a relevant degree or advanced studies. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python, and experience with NLP libraries (e.g., spaCy, NLTK) are crucial, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and the ability to communicate technical concepts clearly are important soft skills. These skills are essential for designing, developing, and optimizing language-based AI solutions that address complex linguistic challenges in real-world applications.

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. Careers in NLP typically require a strong educational background and proficiency with tools like Python and TensorFlow.

What qualifications do I need for natural language processing?

To work in natural language processing (NLP), candidates typically need a bachelor's degree in computer science, linguistics, or a related field, with many roles requiring a master's or Ph.D. in a relevant area. Strong programming skills in languages like Python, experience with NLP libraries such as NLTK or spaCy, and knowledge of machine learning concepts are essential. Familiarity with data preprocessing, statistical analysis, and tools like TensorFlow or PyTorch also enhances job prospects.

What are popular job titles related to Nlp jobs in Hawaii?

For Nlp jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Nlp jobs in Hawaii look for?

The top searched job categories for Nlp jobs in Hawaii are:

Infographic showing various Nlp job openings in Hawaii as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $127,520 per year, or $61.3 per hour.

Data Scientist - Journeyman

Bigbear.ai

Honolulu, HI • On-site

$119K/yr

Full-time

Posted 17 days ago


Job description

Residency
All applicants must currently reside in the United States
Overview
BigBear.ai is seeking a Journeyman Data Scientist to support a Department of the Army enterprise data team by delivering advanced analytics, predictive modeling, and secure AI/ML integration. In this role, you will apply rigorous statistical methods and modern machine learning (including NLP and Generative AI) to forecast operational trends, inform executive decisions, and develop high-fidelity models, dashboards, and cognitive agents across multiple classification enclaves.
You will collaborate closely with Data Architects and Data Engineers to build on standardized, governed data pipelines and help maintain trusted "single source of truth" repositories in accordance with strict security and classification protocols.
What you will do
  • Build, test, and deploy machine learning and statistical models (e.g., forecasting, classification, regression) to answer mission-critical questions and improve decision-making
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, data quality issues, and operational drivers across complex, multi-source datasets
  • Develop and operationalize features and model pipelines in partnership with data engineers, ensuring solutions are scalable, maintainable, and reproducible in secure environments
  • Apply NLP and modern AI techniques (including governed LLM/GenAI patterns where approved) to extract insight from unstructured text, reports, and messaging data
  • Create clear, executive-ready analytic products (dashboards, visualizations, and briefings) that translate technical results into actionable recommendations
  • Work across multiple classification enclaves while complying with all security, handling, and documentation requirements
  • Collaborate with stakeholders to refine problem statements, define measures of success, and validate that analytic outputs align to operational needs
  • Monitor and improve model performance over time, including drift detection, recalibration, and documentation of assumptions and limitations

What you need to have
  • Must maintain an active DoD TS/SCI security clearance
  • 5+ years of experience in applied statistics, predictive modeling, ML, or quantitative research
  • Bachelor's degree in quantitative field (Statistics, Applied Mathematics, or Physics; Electrical, Systems, Industrial, or Computer Engineering; Computer Science (with strong mathematics focus); Operations Research or Econometrics)
  • Demonstrated experience and proficiency working in Python, R, and SQL for analysis/modeling/EDA
  • Demonstrated knowledge and application of forecasting, regression, and modern ML frameworks (scikit-learn, TensorFlow, PyTorch)
  • Experience working with LLMs/Generative AI within secure, governed enterprise boundaries
  • Experience with creating executive-level data storytelling via visualizations/dashboards

What we'd like you to have
  • Experience working within enterprise big data platforms, especially Palantir Foundry (Contour, Workshop, Quiver); or Databricks, Snowflake
  • Familiarity with the Defense/Intelligence sector, including Headquarters operations and intelligence data structures/sources
  • Experience in data cataloging/master data management and metadata practices as prerequisites for AI/ML deployment
  • Master's degree in quantitative field (Statistics, Data Science, Operations Research, OR Applied Mathematics, or related)

Pay transparency
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
About BigBear.ai
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai's predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.