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How much do climate change ai jobs pay per hour?

As of Jun 13, 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.

How hot will the Earth be in 2050?

Climate Change AI professionals analyze climate models to project future temperature increases, which are expected to range from 1.5°C to 2°C above pre-industrial levels by 2050 if current emission trends continue. These projections help inform policy and mitigation strategies, emphasizing the importance of data analysis skills and climate modeling tools in the role.

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 positions are expected to decline due to automation and AI advancements. Climate change AI specialists may see growth, but some traditional environmental monitoring jobs could diminish as AI tools improve data analysis and predictive modeling, reducing the need for manual fieldwork. Adaptation to new technologies and skills will be essential for future job security in this field.

What are the opportunities for AI in climate?

AI professionals working in climate change roles develop models to analyze environmental data, improve climate predictions, and optimize renewable energy systems. Skills in data science, machine learning, and environmental science are valuable, and familiarity with tools like Python and cloud computing platforms enhances job prospects in this field.

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 complexity of environmental issues and the need for specialized expertise. These roles often require interdisciplinary knowledge, critical thinking, and collaboration, which are less easily automated by AI. Skills in data analysis, environmental science, and policy development will remain valuable in addressing climate challenges.

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 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.
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

Environmental Research - Graduates - AI Training - USA

Prolific Academic Ltd

Chicago, IL • On-site, Remote

$45 - $90/hr

Full-time

Posted 15 days ago

Job description

Environmental Research & Sustainability - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Environmental Researchers and Sustainability Experts to join our Expert Network to help train and evaluate cutting-edge AI models using real-world ecological and climate expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills typically pay up to $45–$90 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Education: a BS, MS, or PhD in Environmental Science, Ecology, Climate Science, Environmental Engineering, or a related field.
  • Professional Experience: experience in environmental impact assessment (EIA), climate modeling, conservation research, or corporate sustainability reporting (ESG).
  • Domain Knowledge: deep understanding of carbon accounting, biodiversity metrics, renewable energy systems, or environmental policy.
  • Analytical Precision: the ability to identify errors in climate data interpretations, carbon footprint calculations, or ecological taxonomies.
  • Geospatial & Statistical Literacy: proficiency in interpreting GIS data, satellite imagery, and longitudinal environmental datasets.
  • Communication: ability to synthesize complex environmental regulations or scientific findings into clear, actionable, and technically accurate summaries.
  • A PayPal account to receive payment from our clients

What you'll be doing in the role

  • Evaluate AI-Generated Research: review model responses to queries about climate change, ecosystem services, and resource management for scientific accuracy and nuance.
  • Fact-Check Environmental Claims: validate AI-generated data regarding emissions factors, legislative requirements, and environmental protection standards.
  • Assess Sustainability Logic: Critique AI-proposed solutions for waste reduction, supply chain sustainability, and habitat restoration for practical and scientific feasibility.
  • Annotate Geospatial & Technical Data: identify and correct errors in model-generated maps, environmental risk assessments, and species distribution models.
  • Ensure Policy Alignment: verify that AI responses align with the latest international environmental standards and scientific consensus (e.g., IPCC reports).
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.