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Remote Validation Engineer Jobs in Hawaii (NOW HIRING)

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Train, validate, and evaluate machine learning models using industry best practices. * Deploy ML ... Experience 3-6 Years Employment Type Full-Time Work Location Remote / Hybrid / On-site Salary Range ...

SAIC

Data Operations Engineer Principal

Honolulu, HI · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Operations Engineer ... Parse, transform, validate, and route structured and unstructured data in a variety of formats ...

Booz Allen Hamilton, Inc.

Identity Engineer

Honolulu, HI · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0240159 Location: Honolulu,HI,US Share job via: Share Identity Engineer The Opportunity : As an Identity System Engineer and Administrator on our team, you'll be integral ...

Stantec

Facility Assessor/Inspector (Remote)

Honolulu, HI · On-site +1

$77K - $112K/yr

... engineers, construction tradespersons, transitioning military construction persons (Seabees, Red ... Must have valid driver's license with good driving record Education and Experience * Demonstrated ...

Stantec

Facility Assessor/Inspector (Remote)

Honolulu, HI · On-site +1

$77K - $112K/yr

... engineers, construction tradespersons, transitioning military construction persons (Seabees, Red ... Must have valid driver's license with good driving record Education and Experience * Demonstrated ...

micro1 AI

Bioinformatics Software Engineer

Honolulu, HI · Remote

$80 - $110/hr

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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Remote Validation Engineer information

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How much do remote validation engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote validation engineer in Hawaii is $54.02, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $65.67 per hour, depending on experience, location, and employer.

What is a remote validation engineer?

A Remote Validation Engineer is responsible for testing and verifying that products, systems, or software meet required specifications and function correctly. They develop test plans, run simulations, analyze data, and document results—all while working remotely. This role is common in industries like automotive, semiconductor, and software development, ensuring quality and compliance with standards. Strong technical skills, attention to detail, and proficiency with validation tools are essential.

What are the typical day-to-day responsibilities of a remote validation engineer?

Remote Validation Engineers are responsible for developing and executing test plans, analyzing results, and documenting findings to ensure products meet required standards and specifications. They often collaborate virtually with design, development, and quality teams to identify issues and recommend improvements. Daily tasks may include running automated tests, preparing validation reports, participating in team meetings, and troubleshooting system behaviors. Adapting to shifting project requirements and effectively communicating in a remote setting are also integral parts of the role.

What are the key skills and qualifications needed to thrive as a remote validation engineer, and why are they important?

To thrive as a Remote Validation Engineer, you need a strong background in engineering or computer science, expertise in validation protocols, and experience with testing methodologies. Familiarity with validation tools such as simulation software, automated test platforms, and knowledge of industry compliance standards (e.g., ISO, FDA, or automotive standards) is typically required, and certifications like ISTQB can be beneficial. Excellent problem-solving skills, attention to detail, and strong written and verbal communication are important for collaborating across distributed teams. These skills ensure the effectiveness and reliability of complex products or systems while supporting seamless teamwork in a remote work environment.

Are remote validation engineers in demand?

Remote validation engineers are in demand due to the increasing need for quality assurance and compliance in various industries, especially in technology and manufacturing. They often require skills in testing tools, automation, and industry standards, making remote work a viable option for qualified professionals.

Do remote validation engineers make good money?

Remote validation engineers typically earn competitive salaries that vary based on experience, location, and industry. They often require skills in testing, automation tools, and quality assurance, which can influence earning potential. Overall, the role can offer a solid income, especially with specialized skills and certifications.

What are the most commonly searched types of Validation Engineer jobs in Hawaii?

The most popular types of Validation Engineer jobs in Hawaii are:

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

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

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

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

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

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

Remote Validation Engineer jobs near you

Machine Learning Engineer

Vultus Inc

Honolulu, HI • On-site, Remote

$110K - $145K/yr

Full-time

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

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)