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Ai Meteorology Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Ai Meteorology information

See salary details

$37K

$96.3K

$122K

How much do ai meteorology jobs pay per year?

As of Aug 9, 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 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.

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.

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 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.
More about Ai Meteorology jobs
What cities are hiring for Ai Meteorology jobs? Cities with the most Ai Meteorology job openings:
What states have the most Ai Meteorology jobs? States with the most job openings for Ai Meteorology jobs include:
Infographic showing various Ai Meteorology job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $96,278 per year, or $46.3 per hour.

Applied Meteorology Data Scientist

Southern Company

Birmingham, AL • On-site

$110 - $170/hr

Other

Medical, Retirement

Re-posted 3 days ago


Southern Company rating

8.4

Company rating: 8.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

WORK LOCATION

This position will be located at the Energy Center in Birmingham, AL. Candidates living outside of the Birmingham area may be considered with the expectation that they are able to successfully telework and are willing to travel to Birmingham four days per week.

JOB SUMMARY

Structuring and Analysis supports Commercial Operations and operating companies by providing solutions to complex, and often weather-driven business challenges through advanced analytics and data science.

This position is responsible for collecting, organizing, mining, and analyzing complex datasets—including meteorological, atmospheric, and environmental data—to generate actionable insights that enable informed decision-making and operational effectiveness. Specifically, this role leads and coordinates meteorology-focused data science initiatives supporting Commercial Operations through weather- and climate-informed risk analysis, predictive modeling, and decision-support tool development.

The position requires a strong working knowledge of applied meteorology, atmospheric science, mathematical and statistical methods, and modern data science practices. Success in this role also depends on the ability to manage multiple analytic initiatives, translate technical results into clear business insights, and partner effectively with stakeholders across Commercial Operations, Planning, and operating companies.

JOB RESPONSIBILITIES
  • Lead and coordinate the development of meteorological and weather-driven analytics initiatives, including internal tools, modeling approaches, and decision-support methodologies.

  • Partner with data scientists and meteorologists to design experiments and analyses that test assumptions related to weather, climate variability, and operational risk.

  • Oversee development and application of predictive and prescriptive models incorporating numerical weather prediction outputs, historical weather data, and climate signals to support commercial and operational decisions.

  • Translate complex meteorological and analytic outputs into clear, actionable insights for non-technical stakeholders.

  • Collaborate with end users to identify business needs, gaps, and opportunities for improved weather- and climate-informed analytics solutions.

  • Provide leadership by coordinating cross-functional teams, mentoring analysts, and promoting best practices in data science and applied meteorology.

  • Stay current on emerging trends in meteorological modeling, climate risk analytics, machine learning, and data science technologies relevant to the electric utility industry.

  • Ensure analytics solutions are well-documented, maintainable, and aligned with business objectives and delivery timelines.

All major job responsibilities require strong quantitative, statistical, and analytical skills, combined with effective communication and project leadership capabilities.

JOB QUALIFICATIONS Education:
  • A degree in atmospheric science, meteorology, or a closely related meteorological analytical field is required.

  • Additional degrees in quantitative finance, economics, mathematics, statistics, computer science, engineering, or similar analytical disciplines are a plus.

  • An advanced degree in any of these fields is preferred.

Experience / Skills:
  • Advanced statistical analysis skills, including multivariable analysis, optimization, and predictive modeling.

  • Strong working knowledge of applied meteorology and experience evaluating and using numerical weather prediction models (e.g., GFS, NAM, HRRR, ECMWF).

  • Strong programming and technical competency in large-scale data analysis using Python, R, and SQL; experience with cloud-based analytics platforms such as Databricks is preferred.

  • Experience designing, developing, testing, and documenting complex systems, including predictive models, machine learning algorithms, and decision-support tools.

  • Demonstrated ability to work with large datasets and databases; familiarity with big data and data management technologies is a plus.

  • Ability to solve ambiguous or open-ended problems by creating structure and delivering actionable insights.

  • Strong consulting and project leadership skills with the ability to influence and collaborate across functions.

  • Ability to build productive relationships and work in a fast-paced, competitive environment while handling multiple assignments and conflicting priorities.

  • Ability to manage multiple priorities in a fast-paced environment with consistent, on-time delivery.

  • Continuous learner with an interest in emerging analytics, AI-assisted workflows, and evolving applied meteorology practices.

  • Experience in the electric utility industry, particularly weather-driven impacts to power generation or commercial optimization, is a plus.

TRAVEL REQUIREMENTS

This position requires very little travel.

Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and benefits will also be provided during the hiring process.

Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.

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