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Climate Change Ai Jobs (NOW HIRING)

Analog Devices

Senior AI Infrastructure Engineer

Wilmington, MA · On-site

$118K - $161K/yr

... combat climate change, and reliably connect humans and the world. With revenue of more than $9 ... Senior AI Infrastructure Engineer, Developer Experience Analog Devices, Inc. (NASDAQ: ADI) is a ...

Pano AI

Customer Success Manager

Help Us Tackle The Growing Wildfire Crisis With The Latest Advancements In Ai And Iot The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires--with ...

Pano AI

Senior Customer Success Manager

Help Us Tackle The Growing Wildfire Crisis With The Latest Advancements In Ai And Iot The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires--with ...

Thalo Labs

General Application

New York, NY

Climate First: The mission of addressing climate change is shared and deeply felt by all Thalonians ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Thalo Labs

General Application

New York, NY · On-site

Climate First: The mission of addressing climate change is shared and deeply felt by all Thalonians ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Thalo Labs

General Application

New York, NY

Climate First: The mission of addressing climate change is shared and deeply felt by all Thalonians ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Climate Change Ai information

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How much do climate change ai jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for climate change ai in the United States is $72.84, according to ZipRecruiter salary data. Most workers in this role earn between $56.01 and $86.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Climate Change AI role, and why are they important?

To thrive in a Climate Change AI role, you need a strong background in data science, machine learning, climate science, and typically a relevant degree such as computer science, environmental science, or engineering. Experience with programming languages like Python or R, knowledge of AI frameworks (such as TensorFlow or PyTorch), and familiarity with climate modeling tools are commonly required. Strong problem-solving skills, interdisciplinary collaboration, and effective communication help professionals excel in bridging AI innovations with climate solutions. These skills are vital for developing impactful AI-driven approaches to address complex environmental challenges and drive sustainable change.

What is the difference between Climate Change Ai vs Climate Data Analyst?

AspectClimate Change AiClimate Data Analyst
Required CredentialsBackground in AI, machine learning, environmental scienceDegree in environmental science, statistics, or related field
Work EnvironmentTech companies, research labs, environmental organizationsGovernment agencies, research institutions, NGOs
Industry UsageDeveloping AI models to predict climate patterns, analyze large datasetsInterpreting climate data, creating reports, supporting policy decisions

While both roles focus on climate data, Climate Change Ai emphasizes developing AI solutions to analyze and predict climate trends, whereas Climate Data Analysts interpret climate data to inform decisions. Both require strong analytical skills, but Climate Change Ai demands expertise in AI and machine learning.

What jobs will no longer exist in 2030?

By 2030, roles heavily reliant on manual data entry, routine administrative tasks, and certain manufacturing jobs are expected to decline due to automation and AI advancements. Climate change AI specialists may see shifts in demand as organizations adopt more advanced predictive models and sustainable technologies, but overall, jobs involving repetitive tasks are most at risk of obsolescence.

Which 3 jobs will survive AI?

Climate Change AI professionals, such as climate data analysts, policy advisors, and sustainability scientists, are likely to continue being in demand due to the need for specialized knowledge, critical thinking, and ethical considerations that AI cannot fully replicate. These roles often require domain expertise, interdisciplinary skills, and the ability to interpret complex environmental data, making them more resilient to automation.

How do professionals in Climate Change AI typically collaborate with interdisciplinary teams to develop impactful solutions?

Professionals working in Climate Change AI frequently collaborate with experts from fields such as environmental science, data analysis, engineering, and policy. Teamwork is essential, as AI specialists need to understand the real-world context of climate data and ensure that technical solutions are both feasible and actionable. Regular meetings, joint research sessions, and collaborative problem-solving are common, allowing team members to combine their expertise and create AI-driven models or tools that address climate challenges effectively. This interdisciplinary approach not only broadens your skillset but also amplifies the real-world impact of your work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or chief AI officer, often in large tech companies or organizations investing heavily in AI development. These roles usually require advanced skills in data science, programming, and AI frameworks, along with significant experience and leadership responsibilities.

What is Climate Change AI?

Climate Change AI refers to the use of artificial intelligence and machine learning technologies to address challenges related to climate change. This can include tasks such as analyzing climate data, optimizing energy systems, improving climate modeling, and supporting policy decisions. Organizations and researchers in this field aim to accelerate climate action by leveraging AI to find innovative solutions, reduce greenhouse gas emissions, and enhance adaptation strategies. Climate Change AI is also the name of a global initiative and community dedicated to advancing this mission.

What's working in AI for climate?

AI for climate involves developing models to analyze environmental data, predict climate patterns, and optimize energy use. Climate change AI specialists often work with machine learning tools, satellite imagery, and large datasets to support sustainability efforts and policy decisions.
More about Climate Change Ai jobs
What cities are hiring for Climate Change Ai jobs? Cities with the most Climate Change Ai job openings:
What states have the most Climate Change Ai jobs? States with the most job openings for Climate Change Ai jobs include:
What job categories do people searching Climate Change Ai jobs look for? The top searched job categories for Climate Change Ai jobs are:
Climate Change Ai jobs near you
Infographic showing various Climate Change Ai job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $151,511 per year, or $72.8 per hour.

Founding Full Stack Developer (Remote)

Recruitzsy

Humble, TX • Remote

Full-time

Posted 24 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

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