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Remote Ecologist Jobs (NOW HIRING)

EHS Support LLC

Senior Scientist - Ecological Services

$93.70K - $127.90K/yr

This position is remote, with a preference towards the northeast/mid-Atlantic region. Essential Responsibilities * Lead the development and growth of the Ecological Services practice area in ...

The Pennsylvania State University

D. degree with expertise in at least two of the following areas: human-environment geography, landscape ecology, land system science, remote sensing/GIS science, data science, or related field.

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$34.5K

$59.5K

$104K

How much do remote ecologist jobs pay per year?

As of May 30, 2026, the average yearly pay for remote ecologist in the United States is $59,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $74,000.00 per year, depending on experience, location, and employer.

What is a Remote Ecologist job?

A Remote Ecologist studies ecosystems, biodiversity, and environmental changes using technology such as GIS, remote sensing, and data analysis without being physically present in the field. They may analyze satellite imagery, climate data, or ecological models to assess habitats, monitor wildlife, and support conservation efforts. This role often involves collaborating with researchers, government agencies, or environmental organizations to provide insights for ecological management and policy decisions.

What are the key skills and qualifications needed to thrive in the Remote Ecologist position, and why are they important?

To thrive as a Remote Ecologist, you need a solid background in ecological principles, data analysis, and scientific research methodologies, generally supported by a relevant degree in ecology or environmental science. Familiarity with GIS software, remote sensing tools, and data management platforms, as well as certifications like Certified Ecologist (ESA), are often required. Strong written communication, attention to detail, and self-motivation are important soft skills for remote collaboration and effective independent work. These abilities enable ecologists to accurately collect, analyze, and report on environmental data while working remotely with multidisciplinary teams.

What are some common challenges faced by Remote Ecologists, and how can I prepare for them?

One common challenge for Remote Ecologists is managing fieldwork logistics and technical troubleshooting without direct, in-person support, especially when working in isolated locations. Additionally, maintaining clear communication and collaboration with team members across different time zones can require strong organizational skills and proactive engagement. To prepare, ensure you are comfortable using virtual communication platforms, have strong problem-solving abilities, and can work independently while staying aligned with team goals. Regular check-ins, thorough documentation, and flexibility with scheduling can help you navigate these challenges successfully. Ultimately, being resourceful and adaptable are key traits for thriving in a remote ecology role.
More about Remote Ecologist jobs
What cities are hiring for Remote Ecologist jobs? Cities with the most Remote Ecologist job openings:
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What job categories do people searching Remote Ecologist jobs look for? The top searched job categories for Remote Ecologist jobs are:
Remote Ecologist jobs near you
Infographic showing various Remote Ecologist job openings in the United States as of May 2026, with employment types broken down into 100% Contract. Highlights an 39% Physical, and 61% Remote job distribution, with an average salary of $59,547 per year, or $28.6 per hour.

Atmospheric Science Expert (Masters/PhDs)

Alignerr

Manhattan, NY • Remote

Full-time

Posted 24 days ago

Job description

Atmospheric Science Expert (AI Training) About the Role What if your deep knowledge of atmospheric science, climate modeling, and earth systems could directly shape how AI reasons about the planet's most complex problems? We're looking for Atmospheric Science experts to help build and train cutting‐edge AI models — designing rigorous, real‐world problems that push AI reasoning to its limits. This is a fully remote, flexible contract role built for researchers and scientists who want to put their expertise to work on something genuinely new.

No prior AI experience needed — just a strong scientific foundation and a passion for getting things right. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Develop, solve, and review advanced atmospheric science problems grounded in real‐world relevance Apply your expertise in climate modeling, meteorology, ecology, or sustainability to design complex, rigorous problem sets Evaluate AI‐generated scientific reasoning for accuracy, depth, and scientific integrity Collaborate asynchronously with AI researchers and fellow domain experts to push the quality of AI scientific reasoning forward Ensure scientific rigor, clarity, and depth across all deliverables Work independently on task‐based assignments fully on your own schedule Who You Are Master's or PhD in Atmospheric Science, Climate Science, Environmental Science, or a closely related field Deep expertise in at least one of: climate modeling, atmospheric dynamics, meteorology, ecology, or sustainability science Comfortable coding in Python or R for research or quantitative analysis Exceptional written communication skills — you can translate complex science into clear, structured problem statements Naturally detail‐oriented with a high standard for scientific accuracy Fluent in English Nice to Have Prior experience with data annotation, data quality assessment, or AI evaluation workflows Background in scientific writing, peer review, or curriculum development Familiarity with AI tools or language models as an end user Experience communicating science to non‐specialist audiences Why Join Us Work at the frontier of AI development alongside world‐leading AI research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, intellectually engaging work Apply your scientific expertise to a domain that's actively shaping the future of AI Potential for ongoing work and contract extension as new projects launch #J-18808-Ljbffr

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