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Ai For Earth Jobs (NOW HIRING)

Senior Applied AI Engineer

Vista, CA · On-site

$139K - $201K/yr

Turning Space into a Transportation Layer for Earth Who We Are: Inversion builds advanced reentry ... As a Senior Applied AI Engineer at Inversion, you will define and build the company's internal AI ...

$110 - $150/hr

... for Earth. Realizing this vision demandshighly reliable,high performanceelectricalcomputehardware, solar power systems, thermal radiators, and more. These systems mustoperatein the extreme ...

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Turning Space into a Transportation Layer for Earth Who We Are: Inversion builds advanced reentry ... As a Senior Applied AI Engineer at Inversion, you will define and build the company's internal AI ...

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Ai For Earth information

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How much do ai for earth jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai for earth in the United States is $17.40, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $19.23 per hour, depending on experience, location, and employer.

What is an AI for Earth specialist?

An AI for Earth specialist is a professional who uses artificial intelligence (AI) technologies to address environmental challenges such as climate change, biodiversity loss, and sustainable resource management. These specialists develop and apply AI models to analyze environmental data, predict outcomes, and provide actionable insights for conservation and sustainability efforts. Their work often involves collaborating with scientists, policymakers, and organizations to create solutions that support the health of our planet. The role requires expertise in machine learning, data science, and environmental science.

What are some typical challenges faced by professionals working in AI for Earth roles, and how can they be addressed?

Professionals in AI for Earth roles often encounter challenges such as handling large and diverse environmental datasets, integrating interdisciplinary knowledge, and ensuring the ethical use of AI in environmental applications. Collaborating with domain experts in ecology, climate science, and data engineering is crucial to bridge knowledge gaps and develop effective solutions. Staying current with advancements in both AI and environmental science, as well as fostering open communication within multidisciplinary teams, helps address these challenges and drive impactful results.

What are the key skills and qualifications needed to thrive as an AI for Earth specialist, and why are they important?

To thrive as an AI for Earth Specialist, you need expertise in machine learning, data analysis, and environmental science, often backed by a degree in computer science, environmental studies, or a related field. Familiarity with programming languages (such as Python or R), cloud computing platforms like Azure or AWS, and geospatial analysis tools is typically required. Strong problem-solving skills, collaboration, and a passion for sustainability help individuals excel in this role. These skills are essential for developing innovative AI solutions to address complex environmental challenges effectively and responsibly.

What is the difference between Ai For Earth vs Data Scientist?

AspectAi For EarthData Scientist
Required credentialsDegree in environmental science, computer science, or related fields; knowledge of AI and machine learningDegree in computer science, statistics, or related fields; proficiency in programming and data analysis
Work environmentResearch labs, environmental organizations, tech companies focusing on sustainabilityTech companies, finance, healthcare, and various industries analyzing data
Employer and industry usageEnvironmental NGOs, government agencies, companies applying AI to ecological issuesBroad industry use including tech, finance, healthcare, marketing

Ai For Earth specialists focus on applying AI to environmental challenges, often working in research or sustainability projects. Data Scientists analyze large datasets across industries to inform decision-making. While both roles require strong analytical skills and programming knowledge, Ai For Earth emphasizes environmental applications, whereas Data Scientists have a broader industry scope.

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What cities are hiring for Ai For Earth jobs?

Cities with the most Ai For Earth job openings:

What states have the most Ai For Earth jobs?

States with the most job openings for Ai For Earth jobs include:

Infographic showing various Ai For Earth job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $36,188 per year, or $17.4 per hour.

Graduate Internship - Earth and Environmental Science

Los Alamos National Laboratory

Los Alamos, NM • On-site

$15.50 - $19.50/hr

Full-time, Internship

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

8th of 120 rated laboratories


Job description

What You Will Do
Do something that matters and make a real difference at a world-leading institution that integrates geosciences, atmosphere, hydrology, ecology and data science to provide multidisciplinary Earth science solutions to complex problems. The Earth and Environmental Science (EES) Graduate Student Program offers paid internships for graduate students in a variety of Earth science and data driven disciplines. The program provides mentoring, hands-on technical experience, and professional development opportunities through a formalized work plan complementing your graduate research. Examples of EES projects include, but are not limited to:
  • Developing and applying innovative methods and tools to tackle complex Earth science problems in global security, sustainable energy, analytical geochemistry, energy infrastructure and environmental change
  • Conducting research and analysis to inform national security missions and decisions
  • Collaborating with a multidisciplinary team to design and implement research projects
  • Participating in fieldwork, laboratory experiments, and data analysis to advance our understanding of the Earth system
  • Staying at the forefront of the latest research and technological advancements in the field, and contributing to the development of new knowledge and solutions
  • Applying AI and ML techniques for Earth systems modeling, remote sensing, environmental data assimilation, uncertainty quantification, and predictive analytics

What You Need
Minimum Job Requirements:
  • Currently enrolled in an accredited graduate degree program in any Physical Science discipline. Examples of physical science disciplines in greatest demand include: Applied Mathematics, Computer Science, Chemistry, Earth Science, Ecology, Environmental Science, Hydrology, Geology, Geophysics, Materials, and Physics.
  • Must be enrolled in at least 6 semester credit hours (or full-time equivalent) in an accredited degree-granting program.
  • Entering graduate students must provide documentation indicating matriculation into an appropriate degree program.
  • Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent).

Desired Qualifications:
  • Students selected for GRA internships are most competitive when they possess the following knowledge and skills:
  • Computer programming in support of scientific data acquisition or analysis;
  • Experimental techniques currently used within your selected scientific field(s);
  • Laboratory experience demonstrating attention to detail and commitment to safety;
  • Demonstrated ability to communicate (verbal and written) well in a professional scientific context; and
  • Commitment to achieving results in a complex social and organizational setting.
  • Must be enrolled (6 semester credit hours or full-time equivalent) in an accredited, degree-granting graduate level program (or international equivalent)
  • Must currently have and maintain a cumulative GPA of at least 3.2 on a 4.0 scale (or equivalent).

Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Note to Applicants:
  • When applying, candidates must attach:
  • A resume,
  • Personal statement (not to exceed one page),
  • Most recent transcripts (or an acceptance letter if transcripts have not been issued).

Important: Applicants who fail to submit the three required application documents (resume, personal statement, transcript) will not be considered for employment. Personal statements are most effective when they clearly indicate your research interests and highlight your most notable achievements and accomplishments. It should also explain how you have demonstrated the application of desired knowledge and skills in your previous academic and work experiences.
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High Deductible medical insurance with the same large nationwide network
  • Dental and vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947.
Instructions on How to Activate/Create a LANL Jobs Account:
Located Follow the instructions below if you have ever had an employee Z number, been a contractor, or received Los Alamos Lab insurance coverage to activate your account:
  • Select the Click Here button if you have been employed with the Lab or received insurance coverage.
  • Please enter only your first and last name and current email address (an email with your validation code will be sent to you) to activate the account currently in our system.
  • Enter your validation code as described in the email you receive and complete the 3-page registration form. Your account is now active, and you can apply for jobs or save to your basket. Important: Enter the validation code within 15 days to activate your account or your account will be deactivated.
Follow the instructions below if you if you have never been employed with the Lab or received insurance coverage to create an account:
  • Select the Registerbutton if you have never been employed with the Lab or received insurance coverage to Create an Account.
  • From here, you will establish an account with username and password.

How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.

If you experience any technical issues, please email applyhelp@lanl.gov for assistance.

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