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Ai Meteorology Jobs (NOW HIRING)

Hearst

Meteorologist

Dallas, TX

Bachelor's degree or higher in meteorology or a related field. * Experience communicating complex ... AI-assisted data processing and summarization, human-verified before use Advanced AI is not a ...

Hearst

Meteorologist

Dallas, TX

Bachelor's degree or higher in meteorology or a related field. * Experience communicating complex ... AI-assisted data processing and summarization, human-verified before use Advanced AI is not a ...

Hearst Newspapers

Meteorologist

Dallas, TX · On-site

Bachelor's degree or higher in meteorology or a related field. * Experience communicating complex ... AI-assisted data processing and summarization, human-verified before use Advanced AI is not a ...

Hearst Newspapers

Meteorologist

Dallas, TX

Bachelor's degree or higher in meteorology or a related field. * Experience communicating complex ... AI-assisted data processing and summarization, human-verified before use Advanced AI is not a ...

Hearst

Meteorologist

Dallas, TX · On-site

Bachelor's degree or higher in meteorology or a related field. * Experience communicating complex ... AI-assisted data processing and summarization, human-verified before use Advanced AI is not a ...

Hearst Newspapers

Meteorologist

Dallas, TX

Bachelor's degree or higher in meteorology or a related field. * Experience communicating complex ... AI-assisted data processing and summarization, human-verified before use Advanced AI is not a ...

Jobgether

Our partner is looking for a Meteorology Software QA based in Netherlands. This part-time remote ... We use an AI-powered matching process to ensure your application is reviewed quickly, objectively ...

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Ai Meteorology information

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$37K

$96.3K

$122K

How much do ai meteorology jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai meteorology in the United States is $96,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What is AI meteorology?

AI Meteorology is the application of artificial intelligence and machine learning techniques to improve weather forecasting and climate analysis. By leveraging large datasets from satellites, weather stations, and sensors, AI models can identify patterns, predict weather events, and enhance the accuracy of forecasts. This field is rapidly evolving, enabling meteorologists to process vast amounts of data more efficiently and deliver more precise predictions. AI Meteorology also plays a role in climate modeling and disaster preparedness, making it a valuable tool in modern atmospheric science.

What are the key skills and qualifications needed to thrive as an AI meteorologist?

To thrive as an AI Meteorologist, you need a solid foundation in meteorology, data science, and machine learning, often supported by a relevant degree in atmospheric sciences, computer science, or a related field. Experience with programming languages (such as Python or R), meteorological modeling software, and cloud computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help convey complex forecasts and collaborate with interdisciplinary teams. These skills are crucial for accurately analyzing weather data, developing predictive models, and translating insights into actionable information for various stakeholders.

How does an AI meteorologist typically collaborate with traditional meteorologists and data scientists?

AI Meteorologists often work closely with traditional meteorologists to interpret weather models and translate AI-generated insights into actionable forecasts. Collaboration with data scientists is also common, as they help refine machine learning algorithms and validate data accuracy. These interdisciplinary teams frequently meet to discuss model performance, troubleshoot issues, and ensure the integration of AI tools enhances, rather than replaces, human expertise. This collaborative environment offers opportunities to learn from experienced meteorologists while also contributing innovative AI-driven solutions.

What is the difference between Ai Meteorology vs Meteorologist?

AspectAi MeteorologyMeteorologist
Required CredentialsTypically requires data science, AI, or machine learning certificationsRequires a bachelor's degree in meteorology, atmospheric science, or related field
Work EnvironmentPrimarily research, data analysis, and software development settingsFieldwork, weather stations, broadcasting, and research institutions
Industry UsageUsed in weather prediction models, AI-driven forecasting toolsProvides weather forecasts, warnings, and climate analysis
Search & Comparison IntentFocuses on AI applications in weather predictionTraditional weather forecasting and analysis

Ai Meteorology involves applying artificial intelligence and machine learning techniques to weather data, often requiring data science credentials. Meteorologists focus on analyzing atmospheric conditions through traditional methods and fieldwork. While both roles contribute to weather forecasting, Ai Meteorology emphasizes AI-driven models, whereas meteorologists rely on observational data and expertise.

More about Ai Meteorology jobs

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Cities with the most Ai Meteorology job openings:

What states have the most Ai Meteorology jobs?

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

The top searched job categories for Ai Meteorology jobs are:

Ai Meteorology jobs near you
Infographic showing various Ai Meteorology 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 $96,278 per year, or $46.3 per hour.

Assistant Professor in Meteorology (Non Tenure Track)

Jackson, MS • On-site

Jackson State University
Colleges, Universities, and Professional Schools • 1 - 5K employees
Learn more about Jackson State Universityexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Location : JSU Main Campus, MS
Job Type: Full-Time
Job Number: 004456
College/Division: Chemistry, Physics, and Atmospheric Sciences
Opening Date: 09/11/2025
Closing Date: Continuous
Description
The Department of Chemistry, Physics & Atmospheric Sciences is accepting applications for its Assistant Professor in Meteorology (Non-Tenure Track) position.
Examples of Duties
Develop and deliver undergraduate and graduate courses in:
  • Atmospheric modeling (e.g., NWP).
  • Satellite meteorology and remote sensing.
  • Al and data analysis applications in meteorology.
  • Advise and mentor students in research, internships, and professional development.

Research & Innovation: Lead and collaborate on research in:
  • Numerical modeling and AI-enhanced weather prediction.
  • Satellite algorithm development (particularly GOES and similar systems).
  • Environmental justice through community-engaged meteorological research.
  • Service & Outreach: Engage with local communities, especially udder-served and vulnerable populations, applying atmospheric science to societal needs.
  • Build strategic partnerships, including with federal agencies (e.g., NOA A, NWS).

Perform other duties assigned.
Typical Qualifications
  • A Ph.D. in Atmospheric Sciences, Meteorology, or a closely related field.
  • Demonstrated experience in numerical weather prediction, satellite product development, and algorithm design.
  • Track record of effective federal and academic collaborations, including leadership in AI or environmental modeling initiatives.
  • Commitment to mentoring students and engaging underrepresented communities in STEM.
  • Extensive experience with managing meteorology, atmospheric sciences, and related technological initiatives (i.e. GOES-R series satellite systems and earth system modeling), as well as educating the public on meteorological applications.
  • Proven leadership in strategic development, including organizing interdisciplinary teams and securing funding.
  • History of community engagement, environmental justice advocacy, or translating community needs into scientific and policy-oriented advancements.

We offer a complete benefits package to full-time employees, including health care, dental, vision, retirement, deferred compensation plans, flexible spending accounts, life insurance, long-term disability, holidays, vacation, and sick leave.
Part-time employees who work 20 hours or more per week are eligible for the complete benefits package.
To learn more details, visit our
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Which statement below best describes the highest level of education you have completed?
  • High school graduate, diploma or the equivalent (GED)
  • Associate degree
  • Bachelor's degree
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  • Ph.D
  • G.E.D.
  • Juris Doctorate

02
Can you, if hired, provide proof of education?
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03
Will you now or in the future require sponsorship to work in the United States?
  • Yes
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