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Internship Remote Marine Science Jobs (NOW HIRING)

Lynker Corporation

Scientific Programmer

Silver Spring, MD · On-site +1

$78K - $100K/yr

Must have a Bachelor's degree in GIS, Remote Sensing, Marine Science, Engineering, Biology, Oceanography, or related field. * 5+ years of related experience. * Software development experience ...

AIS Inc

Data Scientist

Miami, FL · Remote

Masters degree in data science, computer science, marine biology, or related field, OR Bachelors ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

AIS Inc

Data Scientist

Miami, FL · Remote

Master's degree in data science, computer science, marine biology, or related field, OR Bachelor ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Strayos

$13 - $17.50/hr

If you love using innovative technology to tackle tough science problems and working in a fast ... As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ...

Leidos

Marine Fleet Coordinator

The Marine Fleet Coordinator acts as the most senior professional mariner on Station, and as such ... 150 science and technical events across three geographically remote research stations; McMurdo ...

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How much do internship remote marine science jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for internship remote marine science in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote Marine Science, and why are they important?

To thrive as a Remote Marine Science Intern, you generally need a background in marine biology or environmental science, strong research skills, and enrollment in or completion of relevant coursework. Familiarity with data analysis software (like R or Python), remote sensing tools, and GIS systems is often required. Strong written communication, self-motivation, and time management skills help interns excel in a remote setting. These skills ensure effective independent research, accurate data analysis, and clear reporting, all crucial for contributing to marine science projects remotely.

What are remote marine science internships?

Remote marine science internships are opportunities for students or early-career professionals to gain experience in marine science fields while working off-site, often from home or another location away from the research facility. These internships typically involve tasks like data analysis, literature reviews, GIS mapping, virtual lab work, and remote participation in research projects or conservation initiatives. They provide valuable professional development, networking opportunities, and exposure to real-world marine science work, even for those unable to participate in on-site fieldwork. Remote internships have become more common due to advances in technology and the need for flexible learning environments.

What types of projects or research tasks are commonly assigned to remote marine science interns?

Remote marine science interns often engage in tasks such as data analysis from oceanographic sensors, reviewing and compiling scientific literature, assisting with the interpretation of satellite imagery, and supporting ongoing research projects through digital collaboration platforms. Interns may also help with remote monitoring of marine environments, contribute to report writing, and participate in virtual team meetings. These experiences help interns develop technical skills and gain exposure to current marine science methodologies, even without direct fieldwork.
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Internship Remote Marine Science jobs near you
Infographic showing various Internship Remote Marine Science job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Science and Conservation Associate

Laguna Ocean Foundation

Laguna Beach, CA • Remote

Part-time

Posted 12 days ago

Job description

Science and Conservation Associate

Location: Laguna Beach, California
Organization: Laguna Ocean Foundation (LOF)
Status: Part-time (Contingent upon funding)

About Laguna Ocean Foundation

The Laguna Ocean Foundation (LOF) is a nonprofit dedicated to protecting and restoring Laguna Beach’s coastal ecosystems through science, education, conservation, and community engagement. Working with universities, government agencies, and community partners, LOF is advancing innovative coastal monitoring by integrating field ecology with drones, GIS, machine learning, environmental DNA (eDNA), and citizen science.

Position Summary

LOF seeks a motivated Science and Conservation Associate to support the technical foundation of its research and conservation programs. This position transforms field observations into high-quality geospatial data that inform ecological monitoring, restoration, conservation planning, and public education across Laguna Beach’s Marine Protected Areas.

The Associate will manage geospatial workflows—from drone and underwater ROV surveys through machine-learning analysis, GIS integration, habitat mapping, and scientific visualization. Working closely with LOF biologists, university researchers, GIS specialists, and interns, the Associate will help build one of California’s most comprehensive long-term coastal spatial datasets while supporting scientific publications, grant-funded research, StoryMaps, and emerging conservation technologies.

Position contingent upon funding.

Primary Responsibilities

Remote Sensing & Field Operations

● Conduct drone surveys under FAA Part 107 regulations.

● Operate underwater ROVs to document marine habitats.

● Coordinate field logistics, equipment, permits, and data collection.

GIS & Spatial Analysis

● Process drone imagery into ortho-mosaics and elevation models.

● Maintain GIS databases and produce habitat, species, and change-detection maps.

● Integrate remote sensing with biological field data.

Artificial Intelligence & Data Science

● Develop and apply machine-learning models for habitat and species classification.

● Improve classification workflows and support Python-based geospatial automation.

Research & Communication

● Collaborate with scientists and partner institutions on applied conservation research.

● Assist with scientific publications, technical reports, grant proposals, and conference presentations.

● Develop Story-Maps, dashboards, and visual products that communicate science to diverse audiences.

Training & Program Support

● Mentor interns and volunteers in GIS, drone operations, and data collection.

● Help establish standardized monitoring and data management protocols.

Required Qualifications

● Bachelor’s degree in GIS, Geography, Environmental Science, Marine Science, Engineering, Computer Science, Data Science, Ecology, or related field (or equivalent experience).

● At least one year of experience in remote sensing, GIS, spatial analysis, or environmental monitoring.

● Proficiency with ArcGIS Pro and/or QGIS.

● Experience with Python for geospatial analysis or machine learning.

● Experience processing drone imagery using photogrammetry.

● Familiarity with image classification or computer vision workflows.

● Knowledge of geospatial data management and reproducible workflows.

● FAA Part 107 certification (or ability to obtain).

● Excellent organizational, communication, and technical writing skills.

Preferred Qualifications

● Experience in coastal or marine ecosystems.

● Underwater ROV experience.

● Familiarity with eDNA, ecological monitoring, or conservation research.

● Experience working with universities, government agencies, or nonprofits.

● Grant writing or peer-reviewed publication experience.

● Experience with ArcGIS Online, StoryMaps, Dashboards, or web GIS.

● Knowledge of TensorFlow, PyTorch, Detectron2, or similar frameworks.

● Experience with cloud-based geospatial workflows.

Please send your resume and cover letter to: Please send in your material by July 31 to info@lagunaoceanfoundation.org

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