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Remote Sustainability Science Jobs (NOW HIRING)

Sustainability Specialist

New York, NY · On-site +1

$50 - $70/hr

Environmental Science Expert Type: Contract Compensation: $50-$70/hour Location: Remote Role ... F500 sustainability team, or R1 university . * Background in environmental assessment and ...

Senior Sustainability Manager

Cincinnati, OH · On-site +1

$120K - $150K/yr

Conduct remote energy audits by accessing client building management systems, identifying ... Science, Engineering, Mathematics, or related technical field * 10+ years of experience in ...

Sustainability Analyst

Zeeland, MI · On-site +1

$110.90K - $127K/yr

It requires onsite work and is not open to hybrid or remote work at this time. WHAT YOU'LL DO ... Bachelor's degree in Sustainability, Environmental Science, Supply Chain, Business, Engineering, or ...

New

Your role will include supporting clients in setting science-based targets and net-zero commitments ... Working Environment This position offers a remote working arrangement with occasional office and ...

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Showing results 1-20

Remote Sustainability Science information

See salary details

$42.5K

$122.6K

$138.5K

How much do remote sustainability science jobs pay per year?

As of May 29, 2026, the average yearly pay for remote sustainability science in the United States is $122,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,500.00 and $138,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Sustainability Scientist, and why are they important?

To excel as a Remote Sustainability Scientist, you typically need a background in environmental science or a related field, with expertise in data analysis, research methods, and sustainability principles. Familiarity with GIS software, remote sensing tools, and data visualization platforms is often required, along with certifications such as LEED or GRI when applicable. Strong written communication, collaboration skills, and self-motivation are crucial for coordinating with dispersed teams and stakeholders. These skills ensure effective environmental research, informed decision-making, and impactful sustainability initiatives in a remote work context.

How do remote sustainability science professionals typically collaborate with interdisciplinary teams?

Remote sustainability science professionals often work closely with experts in fields such as ecology, policy, data analysis, and engineering. Collaboration is usually facilitated through digital tools like video conferencing, shared documents, and project management platforms. Effective communication and coordination are key, as projects often require integrating diverse perspectives and datasets to address complex environmental issues. Regular virtual meetings, clear documentation, and shared digital workspaces help ensure that all team members stay aligned and contribute effectively.

What is remote sustainability science?

Remote sustainability science is a field that uses remote sensing technologies, such as satellite imagery and aerial data, to study and address environmental and sustainability challenges. Professionals in this field analyze data from afar to monitor land use, natural resources, climate change impacts, and ecosystem health. This work supports efforts to make informed decisions about conservation, resource management, and sustainable development, often without the need for on-site visits. Remote sustainability science is crucial for tracking global environmental trends and supporting sustainable policies.
More about Remote Sustainability Science jobs
What cities are hiring for Remote Sustainability Science jobs? Cities with the most Remote Sustainability Science job openings:
What are the most commonly searched types of Sustainability Science jobs? The most popular types of Sustainability Science jobs are:
What states have the most Remote Sustainability Science jobs? States with the most job openings for Remote Sustainability Science jobs include:

Atmospheric Science Expert (Masters/PhDs)

Alignerr

Manhattan, NY • Remote

Full-time

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


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