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Remote E Learning Developer Jobs in Hawaii (NOW HIRING)

Machine Learning Engineer

Honolulu, HI ยท On-site +1

$110K - $145K/yr

Machine Learning EngineerJob Summary We are looking for a talented Machine Learning Engineer to ... Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid / On-site Salary Range ...

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

We have a culture that's rooted in constantly learning and improving, and our engineers are ... LI-SS2 LI-REMOTE

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Know & Grow Your People - Commit to learning and supporting team success. * Build Relationships ... S. Government construction processes (e.g., MILCON, USACE coordination, or similar) * Ability to ...

GTM Engineer

Honolulu, HI ยท On-site +1

$99K - $137K/yr

  • Medical

  • Life

  • Retirement

  • PTO

... event-driven tools (e.g., Zapier, n8n). This includes taking prototypes to production and ... Remote candidates must be available during Hawaii Standard Time (HST / UTC-10) business hours, with ...

Remote Psychiatrist (MD/DO) - Hawaii

Honolulu, HI ยท Remote

$325K - $375K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Data Operations Engineer Principal

Honolulu, HI ยท On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... Employ data manipulation and visualization tools (e.g., Grafana, Prometheus) to effectively convey ...

Data Engineer

Honolulu, HI ยท On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0240103 Location: Honolulu,HI,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Data Engineer

Honolulu, HI ยท On-site +1

$113K - $135K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244293 Location: Honolulu,HI,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

AI Software Engineer, Senior

Honolulu, HI ยท 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 ... machine learning solutions in a professional environment * Experience building production AI ...

Foundry Data Engineer

Honolulu, HI ยท On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245813 Location: Honolulu,HI,US Share job via: Share Foundry Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Construction Project Manager

Maunaloa, HI ยท On-site +1

$110K - $140K/yr

... engineers, administrators, foremen, subcontractors) and building stakeholder relationships with ... remote access. * Apply construction expertise with a safety focus, mitigating altitude risks (e.g ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank ...

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Showing results 1-20

Remote E Learning Developer information

See Hawaii salary details

$11.4K

$87.2K

$145.5K

How much do remote e learning developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote e learning developer in Hawaii is $87,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $144,400.00 per year, depending on experience, location, and employer.

What is a remote e learning developer?

A Remote E Learning Developer designs, develops, and implements online educational content, such as courses, tutorials, and interactive learning materials. They use e-learning authoring tools, multimedia, and instructional design principles to create engaging training experiences. Working remotely, they collaborate with educators, subject matter experts, and organizations to tailor content for learners. Their role may also include troubleshooting technical issues, ensuring accessibility, and optimizing courses for different platforms.

What are some typical daily responsibilities for a remote e learning developer?

As a Remote E Learning Developer, your typical day might include designing engaging online course modules, developing interactive multimedia content, and collaborating virtually with subject matter experts to ensure accuracy and effectiveness. You will often upload and manage course materials in learning management systems, troubleshoot user issues, and gather learner feedback to continuously improve content. Regular virtual meetings and check-ins with instructional designers, project managers, and other team members are common to track progress and maintain cohesive learning experiences. This remote role combines both independent task management and teamwork, making strong communication and organizational skills essential.

What are the key skills and qualifications needed to thrive in the remote e learning developer position, and why are they important?

To thrive as a Remote E Learning Developer, you need expertise in instructional design, multimedia content creation, and strong digital literacy, often backed by a degree in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications (e.g., ATD) are highly valued. Excellent communication, time management, and self-motivation are critical soft skills for remote collaboration and project deadlines. These abilities ensure high-quality, engaging learning experiences and effective teamwork in a virtual environment.

What are popular job titles related to Remote E Learning Developer jobs in Hawaii?

For Remote E Learning Developer jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Remote E Learning Developer jobs in Hawaii look for?

The top searched job categories for Remote E Learning Developer jobs in Hawaii are:

What cities in Hawaii are hiring for Remote E Learning Developer jobs?

Cities in Hawaii with the most Remote E Learning Developer job openings:

Infographic showing various Remote E Learning Developer job openings in Hawaii as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $87,154 per year, or $41.9 per hour.

Machine Learning Engineer

Vultus Inc

Honolulu, HI โ€ข On-site, Remote

$110K - $145K/yr

Full-time

Posted 28 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)