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Climate Ai Jobs (NOW HIRING)

Climate AI Nordics

NY · On-site

$80 - $100/hr

... climate action. The position offers strong support for external funding, collaboration with ... AI and sustainability research. Applicants are expected to submit a 3-page innovative research ...

Cambio AI Inc.

Analyst, Partner Strategy

San Francisco, CA · On-site

$100 - $125/hr

If you enjoy tackling quantitative problems, have a passion for climate-related work, and are excited about the idea of working at a fast-paced team at the forefront of climate, AI and real estate ...

Leland

Climate Tech & Sustainability Coach

We help businesses become AI-native through training, hiring, and infrastructure. Since our ... We're seeking an experienced Climate Tech & Sustainability Coach to work with clients looking to ...

Cambio

Analyst, Partner Strategy

New York, NY · On-site

If you enjoy tackling quantitative problems, have a passion for climate-related work, and are excited about the idea of working at a fast-paced team at the forefront of climate, AI and real estate ...

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All JobsEnergy and Environment JobsClimate Ai Jobs

Climate Ai information

See salary details

$32.5K

$128.3K

$192K

How much do climate ai jobs pay per year?

As of Sep 7, 2026, the average yearly pay for climate ai in the United States is $128,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $158,500.00 per year, depending on experience, location, and employer.

What is Climate AI?

Climate AI refers to the application of artificial intelligence technologies to study, predict, and address climate change and its impacts. Professionals working in Climate AI develop machine learning models to analyze climate data, forecast weather patterns, detect environmental risks, and help organizations make data-driven decisions for sustainability. Their work supports governments, researchers, and businesses in mitigating environmental challenges and adapting to changing climate conditions.

How does a Climate AI specialist typically collaborate with other departments to drive sustainability initiatives?

As a Climate AI specialist, you'll often work closely with cross-functional teams such as sustainability, data science, engineering, and operations. Collaboration is essential to ensure that AI-driven insights translate into actionable strategies for reducing environmental impact. You may participate in regular meetings to align on project goals, share data findings, and coordinate on the implementation of AI solutions. Building strong communication skills and understanding the needs of non-technical departments are key to successfully integrating AI into broader climate and sustainability programs.

What are the key skills and qualifications needed to thrive as a Climate AI specialist?

To thrive as a Climate AI Specialist, you need a strong background in environmental science, data analytics, and machine learning, often supported by a relevant degree in data science, environmental studies, or computer science. Familiarity with programming languages like Python or R, experience with climate modeling tools, and certifications in AI or data science are typically important. Strong problem-solving skills, interdisciplinary collaboration, and effective communication help translate complex data into actionable climate solutions. These skills are crucial for developing accurate, impactful AI-driven models that address climate challenges and drive informed decision-making.

What is the difference between Climate Ai vs Climate Analyst?

AspectClimate AiClimate Analyst
Required CredentialsTypically requires a background in data science, machine learning, or environmental science; advanced degrees preferredUsually requires a degree in environmental science, climate studies, or related fields; certifications like GHG accounting can be beneficial
Work EnvironmentPrimarily tech-focused, working with AI models and data platformsOften in research, consulting, or government settings analyzing climate data and reports
Employer & Industry UsageUsed by tech companies, climate-focused startups, and organizations leveraging AI for climate solutionsEmployed by environmental agencies, consulting firms, and research institutions

While Climate Ai focuses on developing AI-driven climate solutions and data modeling, Climate Analysts interpret climate data to inform policy and strategy. Both roles require environmental knowledge, but Climate Ai emphasizes technical AI skills, whereas Climate Analysts focus on data analysis and reporting.

More about Climate Ai jobs

What cities are hiring for Climate Ai jobs?

Cities with the most Climate Ai job openings:

What states have the most Climate Ai jobs?

States with the most job openings for Climate Ai jobs include:

What job categories do people searching Climate Ai jobs look for?

The top searched job categories for Climate Ai jobs are:

Climate Ai jobs near you
Infographic showing various Climate Ai job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $128,289 per year, or $61.7 per hour.

Head of Engineering (Energy/Climate) (Chicago)

Attis

Chicago, IL • On-site

$200K - $250K/yr

Full-time

Re-posted 11 days ago

Job description

This range is provided by Attis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $250,000.00/yr

Direct message the job poster from Attis

Head of Engineering (Full-Stack/Data), $200,000-250,000, Chicago (with flex)

Lead Engineering Manager sought for a fast-growth Energy/Climate AI startup who are growing their Eng team out. We are looking for a Lead Engineering Manager who can lead and scale a high-performing engineering team and you will have the opportunity to own technical strategy and product priorities, working closely with C-Level. This is a really exciting opportunity to lead and grow a team within a high-impact company.

The Head of Eng will be managing and growing the engineering team, owning engineering execution, delivery and testing. You will be focused on growing out the team whilst still guiding technically and focusing on execution of projects.

This role is offering up to $250K + many other benefits.

The Lead Engineering Manager will ideally have:

  • 5+ years of software engineering experience, including strong IC experience.
  • Proven experience leading engineering teams at a high-growth startup.
  • Experience building highly used products and interacting with users
  • Previous leadership background - EM, Senior EM, Head of Eng etc.
  • Experience with the following tech stack - React, Python, Postgres, Snowflake, AWS and an interest to work in the energy/climate space

SEO key words: React, Python, Postgres, Snowflake, AWS, Full-Stack, Data Engineering, Engineering Management, Energy, Climate, AI, Startup

Disclaimer:

Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesTechnology, Information and Media

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