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Natural Language Processing Intern Jobs in Hawaii

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 ...

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

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 Intern information

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$9

$17

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How much do natural language processing intern jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for natural language processing intern in Hawaii is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.00 per hour, depending on experience, location, and employer.

What types of projects or tasks do Natural Language Processing Interns typically work on during their internship?

As a Natural Language Processing Intern, you can expect to work on projects such as building or refining text classification models, cleaning and annotating datasets, assisting with the implementation of algorithms for tasks like sentiment analysis or language generation, and analyzing the performance of NLP systems. Interns often collaborate with experienced data scientists, machine learning engineers, and linguists to solve real-world language processing challenges. You may also help research new NLP techniques or work on the integration of models into existing products or services. This hands-on experience provides valuable exposure to practical NLP workflows and is a great stepping stone for a career in AI or machine learning.

What is a Natural Language Processing Intern job?

A Natural Language Processing (NLP) Intern works on projects related to computational linguistics, machine learning, and text analysis. Responsibilities may include preprocessing text data, training and fine-tuning language models, implementing NLP algorithms, and evaluating model performance. Interns typically collaborate with data scientists, engineers, and researchers to improve and deploy NLP solutions for tasks such as sentiment analysis, named entity recognition, or chatbot development. This role requires proficiency in programming languages like Python, familiarity with NLP libraries such as TensorFlow or spaCy, and a strong foundation in machine learning concepts.

What are the key skills and qualifications needed to thrive in the Natural Language Processing Intern position, and why are they important?

To thrive as a Natural Language Processing Intern, you need a solid background in programming (especially Python), understanding of machine learning concepts, and coursework or experience in linguistics or NLP techniques. Familiarity with NLP libraries such as NLTK, spaCy, or Hugging Face, and experience using platforms like Jupyter Notebooks and version control systems are often required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly will help you stand out. These skills and qualities enable you to effectively support research, analyze language data, and contribute to NLP projects within collaborative technical teams.

What are popular job titles related to Natural Language Processing Intern jobs in Hawaii? For Natural Language Processing Intern jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Natural Language Processing Intern jobs in Hawaii look for? The top searched job categories for Natural Language Processing Intern jobs in Hawaii are:
AI Modeling Specialist (Senior) with Security Clearance

AI Modeling Specialist (Senior) with Security Clearance

Amentum

On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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 .