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Remote Marine Data Science Jobs (NOW HIRING)

AI Data Science Expert - Remote

Seattle, WA ยท Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Expert - Remote

Houston, TX ยท Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

AI Data Science Expert - Remote

Seattle, WA ยท Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

Showing results 21-40

Remote Marine Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote marine data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote marine data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a remote marine data scientist?

A Remote Marine Data Scientist is a professional who analyzes data related to the marine environment, such as oceanographic, biological, or ecological information, while working from a remote location rather than onsite. They use statistical methods, machine learning, and programming skills to interpret large datasets from sources like satellites, sensors, and research vessels. Their work helps inform marine conservation, policy, and scientific understanding of oceans and marine life. Remote positions allow these scientists to collaborate with global teams and access data from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote marine data scientist?

To excel as a Remote Marine Data Scientist, you need a strong background in marine science, statistics, and data analysis, typically supported by a relevant degree such as oceanography, marine biology, or data science. Familiarity with programming languages like Python or R, GIS software, and remote sensing tools is commonly required, along with experience using cloud-based collaboration platforms. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with interdisciplinary teams. These competencies ensure accurate analysis of marine environments, support informed decision-making, and enable efficient remote collaboration.

What are some common challenges faced by remote marine data scientists, and how can they be addressed?

Remote marine data scientists often encounter challenges such as limited access to real-time field data, large and complex datasets, and the need for effective collaboration with interdisciplinary teams. To overcome these, it's essential to leverage robust cloud computing tools for data storage and analysis, establish clear communication channels with field researchers, and stay updated with the latest marine data platforms and software. Building strong collaborative relationships and regularly participating in virtual team meetings can also help bridge the gap between remote and on-site team members.

What is the difference between Remote Marine Data Science vs Remote Marine Data Analyst?

AspectRemote Marine Data ScienceRemote Marine Data Analyst
Required CredentialsAdvanced degrees in data science, marine science, or related fields; programming skills in Python/R; statistical knowledgeBachelor's or master's in data analysis, marine science, or related fields; proficiency in Excel, SQL, and basic statistical tools
Work EnvironmentResearch teams, data modeling, algorithm development, often in collaborative or remote settingsData interpretation, reporting, visualization, often in remote or office environments
Employer & Industry UsageResearch institutions, environmental agencies, marine technology companiesMarine research firms, environmental consultancies, government agencies

Remote Marine Data Science involves developing models and algorithms to analyze complex marine data, requiring advanced technical skills. In contrast, Remote Marine Data Analysts focus on interpreting data, creating reports, and visualizations. Both roles are vital in marine industries but differ in technical depth and responsibilities.

Can I work remotely as a remote marine data scientist?

Yes, remote marine data scientists can often work from anywhere with a reliable internet connection, as their tasks typically involve analyzing data, programming, and using tools like Python or R. Many organizations in environmental research, conservation, and maritime industries offer remote positions, especially for professionals with strong analytical skills and experience in data management. However, some roles may require on-site presence for fieldwork or data collection activities.

How to become a remote marine data scientist?

To become a remote marine data scientist, you typically need a strong background in marine science, data analysis, and programming skills in languages like Python or R. Relevant experience with data modeling, GIS tools, and knowledge of marine ecosystems are also important, along with a bachelor's or master's degree in a related field.
More about Remote Marine Data Science jobs

What cities are hiring for Remote Marine Data Science jobs?

Cities with the most Remote Marine Data Science job openings:

What are the most commonly searched types of Marine Data Science jobs?

The most popular types of Marine Data Science jobs are:

What states have the most Remote Marine Data Science jobs?

States with the most job openings for Remote Marine Data Science jobs include:

Infographic showing various Remote Marine Data Science job openings in the United States as of August 2026, with employment types broken down into 11% Internship, 61% Full Time, and 28% Part Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI Data Science Expert - Remote

YO AI Labs

Seattle, WA โ€ข Remote

$100 - $200/hr

Part-time

Posted 5 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.