2

Remote Senior Machine Learning Engineer Jobs in Honolulu, HI

Linguist - Hawaiian - Remote

Honolulu, HI · Remote

$34 - $36.25/hr

Contribute to cutting-edge AI and language technology that is shaping how humans and machines ... Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse ...

Nuclear Analyst

Honolulu, HI · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246001 Location: Honolulu,HI,US Share job via: Share Nuclear Analyst ... Bachelor's degree in Nuclear Engineering, Physics, Nuclear Physics, Chemistry, or Engineering Nice ...

Showing results 41-44

Remote Senior Machine Learning Engineer information

See Honolulu, HI salary details

$74.6K

$141.5K

$189.6K

How much do remote senior machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote senior machine learning engineer in Honolulu, HI is $141,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $159,500.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Honolulu, HI?

For Remote Senior Machine Learning Engineer jobs in Honolulu, HI, the most frequently searched job titles are:

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Honolulu, HI look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Honolulu, HI are:

Linguist - Hawaiian - Remote

LILT (Production)

Honolulu, HI • Remote

$34 - $36.25/hr

Contractor

Re-posted 17 days ago


Job description

About The Opportunity

We are looking for highly skilled linguists with a passion for language and technology to join our translation pool.

We are particularly, but not exclusively, interested in the following domains: Legal/Regulatory content and Marketing.

What You’ll Deliver
  • Translate content between English and your native language while preserving cultural nuance and clarity.

  • Edit and refine language content for accuracy, tone, and contextual relevance across digital platforms.

  • Apply current language standards, usage trends, and best practices to all deliverables.

  • Evaluate and provide structured feedback to improve language model quality.

  • Collaborate with Production and cross-functional teams to localize content for your language-speaking markets.

  • Support content development, localization, and quality assurance for digital tools and applications.

  • If transcreation is required, the text should be creatively adapted beyond the source to ensure it reads naturally in the target language.

Qualifications
  • Native-level proficiency in the target language

  • ISO 17100 Certification Criteria:

    • A recognized graduate qualification in translation, linguistics, or language studies.

    • Or a recognized graduate qualification in any other field plus two years of full-time professional translation experience.

    • Or five years of full-time professional translation experience

Why Collaborate with Lilt?
  • Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging.

  • Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices.

  • Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate.

  • Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together.

  • Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains.

  • Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.

How to join our expert community
  1. Submit your application including an updated copy of your CV in English

  2. If a test is required, you will be asked to take a test in specific domains you specialize in.

  3. Once you are selected to join our translation team or once you have passed the test, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps.

AI is changing how the world communicates — and LILT is leading that transformation.

LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world.

Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise.

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.

At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.

LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.