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Remote Prompt Engineer Jobs in Hawaii (NOW HIRING)

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG). * Experience with Agile/Scrum methodologies. Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid ...

Booz Allen Hamilton, Inc.

AI Software Engineer, Senior

Honolulu, HI · On-site +1

$121K - $159K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244309 Location: Honolulu,HI,US Share job via: Share AI Software ... Apply modern software engineering practices, including automated testing, CI/CD, prompt and ...

All JobsPrompt Engineer JobsRemote Prompt Engineer JobsRemote Prompt Engineer Jobs in Hawaii

Remote Prompt Engineer information

See Hawaii salary details

$13

$58

$83

How much do remote prompt engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote prompt engineer in Hawaii is $58.17, according to ZipRecruiter salary data. Most workers in this role earn between $41.73 and $77.40 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What does a typical workday look like for a remote prompt engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What are popular job titles related to Remote Prompt Engineer jobs in Hawaii?

For Remote Prompt Engineer jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineer jobs in Hawaii look for?

The top searched job categories for Remote Prompt Engineer jobs in Hawaii are:

What cities in Hawaii are hiring for Remote Prompt Engineer jobs?

Cities in Hawaii with the most Remote Prompt Engineer job openings:

Remote Prompt Engineer jobs near you
Infographic showing various Remote Prompt Engineer job openings in Hawaii as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,000 per year, or $58.2 per hour.

Machine Learning Engineer

Vultus Inc

Honolulu, HI • On-site, Remote

$110K - $145K/yr

Full-time

Posted 24 days ago

Job description

Machine Learning EngineerJob Summary

We are looking for a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve complex business problems. The ideal candidate should have experience in data preprocessing, model development, feature engineering, and deploying ML solutions in production environments. You will work closely with data scientists, software engineers, and product teams to build intelligent applications.

Key Responsibilities
  • Design, build, and deploy machine learning models for predictive analytics and automation.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Perform feature engineering and model optimization to improve performance.
  • Train, validate, and evaluate machine learning models using industry best practices.
  • Deploy ML models using cloud platforms and containerization technologies.
  • Monitor model performance and retrain models as needed.
  • Collaborate with cross-functional teams to understand business requirements.
  • Develop APIs and services for model inference.
  • Document model architecture, experiments, and deployment processes.
  • Stay updated with the latest advancements in AI and machine learning technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3–6 years of experience in Machine Learning or Artificial Intelligence.
  • Strong programming skills in Python.
  • Experience with supervised and unsupervised learning algorithms.
  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of statistics, probability, and linear algebra.
  • Experience with SQL and NoSQL databases.
  • Familiarity with REST APIs and microservices architecture.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of CI/CD pipelines for ML deployment.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Feature Engineering
  • Model Deployment
  • Data Preprocessing
  • SQL
  • Docker
  • Kubernetes
  • Git
Secondary Skills
  • NLP (Natural Language Processing)
  • Computer Vision
  • MLOps
  • Apache Spark
  • MLflow
  • Airflow
  • Kafka
  • Azure ML
  • AWS SageMaker
  • Google Vertex AI
  • FastAPI
  • Flask
Preferred Qualifications
  • Experience with large-scale ML model deployment.
  • Knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with vector databases such as Pinecone, Milvus, or FAISS.
  • Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).
  • Experience with Agile/Scrum methodologies.
Experience

3–6 Years

Employment Type

Full-Time

Work Location

Remote / Hybrid / On-site

Salary Range

$110,000 – $145,000 per year (Based on experience and location)