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Climatology Remote Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Areas of interest include, but are not limited to, climate sensitivity, the pattern effect ...

Climate Planning Advisor

Seattle, WA · On-site +1

$56.57 - $84.88/hr

Classified Civil Service, Regular, Full-Time Remote Employment: Flexible/Hybrid Job Number: 2026 ... You will use your Climate and Environmental Justice expertise, project management skills, strong ...

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Climatology Remote information

Do climatologists make good money?

Climatologists typically earn a median annual salary of around $70,000, with salaries varying based on experience, education, and location. Advanced roles or positions in research and consulting can offer higher compensation, especially for those with specialized skills or advanced degrees. The job often involves data analysis, modeling, and environmental research, which can influence earning potential.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day often include specialized roles such as senior consultants, surgeons, or experienced freelance professionals like software developers or financial advisors. These positions typically require advanced skills, certifications, or significant experience, and may involve consulting, contract work, or high-demand expertise. Earnings depend on industry, location, and workload, with some roles offering daily rates in this range for top-tier professionals.

What jobs will no longer exist in 2030?

Climatology remote jobs are unlikely to disappear entirely by 2030, but some roles may evolve or become obsolete due to advances in automation, data analysis tools, and climate modeling technology. Positions heavily reliant on manual data collection or outdated software may decline as AI and remote sensing become more prevalent. Staying updated with new tools and certifications can help professionals adapt to industry changes.

Are climatologists in demand?

Climatologists are in increasing demand due to growing concerns about climate change and environmental issues. They often work in research, government agencies, and environmental consulting, requiring skills in data analysis and modeling tools. Job prospects are expected to grow as climate-related policies and initiatives expand globally.

What is climatology and what does a remote climatologist do?

Climatology is the scientific study of climate, which includes analyzing long-term weather patterns and trends to understand how Earth's climate changes over time. A remote climatologist performs this work from a location outside of a traditional office or laboratory, often using digital tools to analyze climate data, create models, and write reports. They may collaborate with researchers, government agencies, or environmental organizations to assess climate impacts and advise on environmental policy. Remote climatologists often use satellite data, computer simulations, and historical weather records in their research. Their findings can help inform climate adaptation strategies and environmental planning.

How do climatologists working remotely typically collaborate with research teams and access necessary data?

Remote climatologists often utilize cloud-based platforms, data repositories, and collaborative tools to work effectively with their teams. Regular virtual meetings, shared digital workspaces, and real-time data sharing are standard practices to ensure seamless communication and project progress. Access to large climate datasets and computational resources is usually provided through institutional or governmental portals, allowing remote professionals to conduct analyses and contribute to joint research from any location. This setup encourages flexibility while maintaining strong teamwork and data security.

What are the key skills and qualifications needed to thrive as a Climatologist in a remote position, and why are they important?

To thrive as a remote Climatologist, you need a strong background in atmospheric sciences, data analysis, and environmental modeling, typically supported by an advanced degree in climatology, meteorology, or a related field. Proficiency in statistical software (such as R or Python), GIS tools, and climate modeling systems is commonly required. Strong written communication, self-motivation, and collaboration skills are vital for remote teamwork and effective reporting of research findings. These skills ensure accurate climate analysis, effective remote collaboration, and impactful contributions to scientific understanding and policy decisions.

What is the difference between Climatology Remote vs Climate Data Analyst?

AspectClimatology RemoteClimate Data Analyst
Required CredentialsBachelor's or higher in Meteorology, Climatology, or related field; certifications like CCSP beneficialBachelor's or higher in Environmental Science, Data Science, or related; certifications like CAP or GIS certifications helpful
Work EnvironmentRemote, often independent research or data analysisRemote or on-site, focused on analyzing climate data sets
Employer & Industry UsageResearch institutions, government agencies, environmental consultanciesGovernment agencies, environmental firms, research organizations

Climatology Remote and Climate Data Analyst roles share similar credentials and work environments, often involving remote data analysis within environmental sectors. However, Climatology Remote emphasizes broader climatology research, while Climate Data Analysts focus specifically on analyzing climate datasets to inform decisions.

More about Climatology Remote jobs
What cities are hiring for Climatology Remote jobs? Cities with the most Climatology Remote job openings:
What are the most commonly searched types of Climatology jobs? The most popular types of Climatology jobs are:
What states have the most Climatology Remote jobs? States with the most job openings for Climatology Remote jobs include:
Infographic showing various Climatology Remote job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 47% Physical, 4% Hybrid, and 49% Remote job distribution.

Founding Full Stack Developer (Remote)

Recruitzsy

Humble, TX • Remote

Full-time

Posted 2 days ago


Job description

Our San Francisco client is on a mission to combat climate change, improve food security, and alleviate poverty by building a global measurement, reporting, and verification (MRV) platform for high-integrity carbon removal and storage. With groundbreaking technological innovation using ground truth sampling, remote sensing, and AI modeling, they are accurately and scalably measuring soil carbon to incentivize the adoption of sustainable practices. As a public-benefit corporation, they are backed by world-class investors such as Floodgate, John Doerr, Kleiner Perkins, Sheryl Sandberg, Ponderosa Ventures, 776 Foundation (Alexis Ohanian), George Roberts, and Stanford's TomKat Center for Sustainable Energy. Our client is seeking a proactive and collaborative self-starter with at least 5 years of experience building and owning a complete end-to-end technology stack to join their interdisciplinary team.


Qualifications:

The successful candidate will have a track record of shipping and going through the full product development cycle, setting up the technology stack and development infrastructure, and developing infrastructure/pipelines to support Machine Learning/Remote Sensing workflows. While experience in climate/agriculture is a plus, a passion for climate is a must! Multidisciplinary teamwork, as well as understanding how to support Machine Learning and Remote Sensing workflows, is also highly valued. If you care deeply about climate change and feel a strong moral responsibility to act now, apply today!


Requirements:


  • 5-10 years of relevant professional experience after college
  • Experience shipping and building products from 0 to 1
  • Worked as an early employee in a technical role at a startup and has some leadership experience managing technical teams
  • Experience as an early employee at top-tier startups and open-source work
  • Passion for climate change and strong moral responsibility to act
  • Multidisciplinary team work experience, preferably in software and healthcare
  • Understanding of how to support machine learning and remote sensing workflows


Qualifications:

  • 5+ years of experience building and owning a complete end-to-end technology stack (Frontend + Backend + Cloud + CI/CD)
  • A track record of shipping and going through the full product development cycle right from writing the first line of code to product in the hands of users and iterating quickly on feedback
  • Experience with setting up the technology stack and development infrastructure from Day 1 and scaling it with growth
  • Ability to develop infrastructure/pipelines to support Machine Learning / Remote Sensing workflows
  • Proactive and collaborative self-starter with a strong ability to attract other top technical talent and lead them effectively
  • Past experience working in climate/agriculture is not a requirement, but a passion for climate is a plus!
  • Past multidisciplinary teamwork (i.e. e.g. working on software in healthcare) is a huge plus, as you will be working with an interdisciplinary team with expertise in AI, Remote Sensing, Carbon Markets, Soil Carbon Modeling, Sustainable Finance
  • Machine Learning and Remote Sensing experience is not required, but understanding how to support these workflows (e.g. setting up data pipelines, setting up infrastructure to parallelize model runs, automating the deployment of models to integrate with the core MRV product) is a huge bonus!
  • You care deeply about climate change and feel a strong moral responsibility to act now. This extends into all facets of your life: both personal and professional. No action is too small and no goal is too big. Whether you have turned vegan or swear by public transport, we are big believers in embracing sustainability as a mindset and would love to learn what this means for you!
Employment Type: FULL_TIME