Commodity Weather Group · Full-Time · Fully Remote
CWG seeks an energetic meteorologist or atmospheric scientist for full stack engineering, development, and management of new tools and products for our forecasting team and clients. Understanding of meteorology, programming experience, and basic system infrastructure are essential. This is a full-time, fully remote position with a flexible work schedule.
Required Qualifications
• Degree in meteorology or related sciences • Programming experience • Full stack development • Comfortable in a Linux environment • Self-motivated, innovative, team-oriented
Preferred Qualifications
• Master's degree or 2+ years relevant experience • Infrastructure automation experience • Front-end dev: HTML/CSS/JavaScript/Drupal • Database design, usage, and optimization
Starting Salary: $90,000 Fully paid healthcare · Office & phone/internet stipends · 401(k) with company match · Semiannual performance bonuses
About CGW
CWG consults for hundreds of companies in energy and agriculture risk management, including renewables, crop data, and weather-driven demand on short-term to seasonal time scales. CWG also owns and manages StormVista weather model services. With a very high client retention rate, extremely low employee turnover, and an open organizational structure, all team members play a significant role in the company's future growth.
The Meteorologist forecasts weather conditions and produce and anchors weather reports for all platforms in a manner that is clear, engaging and meaningful to news consumers.
Essential Duties and Responsibilities
Produces and presents weather reports for all our digital platforms.
Ensures that all weather content meets company standards for journalistic integrity and production quality.
Writes and delivers weather stories in a clear and concise manner.
Assists in writing, copy editing, researching and coordinating weather programming and other content.
Responds to breaking and/or severe weather events and other urgent newsrooms situations as required.
Works closely with the weather team to develop comprehensive weather coverage.
Participates in promotional activities including public appearances.
Performs special projects and other duties as assigned.
Writes web stories detailing the local forecast on a daily basis.
Interacts with viewers and users on social media sites.
Requirements and Skills
Bachelor’s degree in Meteorology, or a related field, or an equivalent combination of education and work related experience.
Fluency in English.
Excellent communication skills, both oral and written with the ability to ad lib when required.
Minimum three years’ experience in weather reporting or anchoring.
Superior on-air presence.
Experience guiding, directing and motivating others.
Ability to identify the developmental needs of others and to coach, mentor or otherwise help others to improve their knowledge or skills.
Proficiency with computers, telephones, copiers, scanners, fax machines and other office equipment.
Ability to meet deadlines, prioritize assignments and handle multiple tasks simultaneously.
Ability to effectively listen to fully understand problems and communicate with a team to shape a solution.
Strong understanding of the field of meteorology and a proven track record of forecasting.
Valid driver’s license with a good driving record.
Flexibility to work any shift.
The Meteorologist must be able to sit, conduct telephone conversations, use electronic mail, write letters and memos, conduct face-to-face discussions with individuals or groups, make decisions without supervision, make decisions that impact the results of co-workers, work in close proximity to others, work outdoors occasionally in all weather conditions, and work indoors in environmentally controlled conditions. In addition, the Meteorologist must be able to lift, set up and operate equipment weighing up to 25 pounds, and be able to handle, control or feel objects, tools or controls. Repetitive movements are required. Work may be conducted in extremely bright or inadequate lighting conditions.
The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at The University of Oklahoma is currently seeking a Research Associate or Research Scientist to advance radar science and algorithm development within the Multi-Radar Multi-Sensor (MRMS) system. The MRMS system consists of fully-automated algorithms that quickly and intelligently integrate data streams from multiple radars, surface and upper air observations, lightning detection systems, satellite observations, and forecast models. This collaborative work with NOAA’s National Severe Storms Laboratory (NSSL) presents an exciting opportunity to shape the future of weather radar applications and contribute to cutting-edge research and development of radar data fields and radar-derived quantitative precipitation estimations (QPEs). This position will help with the development and testing of various aspects of the MRMS system, including radar mosaics, radar data quality control, and radar-based QPEs.
Job Responsibilities
Contribute to the design, implementation, and testing of algorithms designed to help with the data quality control of various radar fields
Contribute to the advancement of radar-derived precipitation estimations within the MRMS system
Acquire the knowledge and skills necessary to support and update the MRMS system codes and techniques
Work with an interdisciplinary team of scientists and engineers to design, develop, and implement radar-based enhancements and improvements to the MRMS system
Attend meetings and professional conferences to present research results and interact with collaborators
Provide support for regular summaries of work accomplished through reports and/or peerreviewed publications as needed
(Research Scientist only) Lead research that will help with the seamless integration of supplemental radars into the MRMS system
Qualifications
We are looking for candidates who possess:
Ph.D. (Research Scientist) or M.S. (Research Associate) in Meteorology, Atmospheric Science, or a related field
Knowledge in radar meteorology
Proficiency in high-level programming languages
Strong ability to research, troubleshoot, and independently resolve unfamiliar problems
Excellent oral and written communication skills with an ability to work both independently and cooperatively with others
It is preferred that applicants demonstrate expertise within one or more of the following areas (an applicant need not demonstrate experience in all areas to be considered): radar data processes and variables, radar data quality control, and/or precipitation estimation. Preferred programming proficiency should include C++, Perl, and/or Python. Proficiency in AWS or other Cloud computing platforms are desired but not required.
Based at the National Weather Center in Norman, OK (https://www.ou.edu/nwc), this position promises not only professional growth and promotion potential but also the chance to impact the broader scientific community. This position requires physical presence in Norman but may permit a hybrid work schedule.
The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) seeks to fill a Postdoctoral Research Associate position for its collaborative research as a Cooperative Institute with the National Oceanic and Atmospheric Administration (NOAA) Office, specifically with the National Severe Storms Laboratory (NSSL) in Norman Oklahoma. This Postdoctoral Research Associate position will advance the Probabilistic Hazard Information system (PHI) using Artificial Intelligence/Machine Learning (AI/ML).
Job Responsibilities
Advance PHI research and development activities to enhance rapidly-updating probabilistic severe weather hazard forecasts using AI/ML.
Collaboratively design and implement tools for Warn-on-Forecast (WoFS) and ensemble model integration with PHI, data analysis, visualization, verification, explainability, and other AI-driven advancements.
Assist with the development, facilitation, and data analysis of user engagement/Hazardous Weather Testbed (HWT) activities involving WoFS and PHI.
Serve as a lead or contributing author on scientific manuscripts for peer-reviewed publications and present research findings at conferences, workshops, and symposia.
Creatively and efficiently solve scientific problems, both independently and as an integral member of the research team.
Qualifications
Advance PHI research and development activities to enhance rapidly-updating probabilistic severe weather hazard forecasts using AI/ML.
Collaboratively design and implement tools for Warn-on-Forecast (WoFS) and ensemble model integration with PHI, data analysis, visualization, verification, explainability, and other AI-driven advancements.
Assist with the development, facilitation, and data analysis of user engagement/Hazardous Weather Testbed (HWT) activities involving WoFS and PHI.
Serve as a lead or contributing author on scientific manuscripts for peer-reviewed publications and present research findings at conferences, workshops, and symposia.
Creatively and efficiently solve scientific problems, both independently and as an integral member of the research team.
How to Apply
Applications should be mailed to ciwro-careers@ou.edu Attn: WoF-PHI and include a cover letter, the names and contact information for 3 references, and your resume/cv. The cover letter must highlight your relevant qualifications and how they can contribute to the WoFS and PHI team. Applications will be accepted until the position is filled. The starting date is negotiable.
The National Weather Service has launched a major nationwide hiring initiative, filling positions at the majority of NWS offices across the country through three pooled vacancy announcement groups open from May 1 through September 30, 2026.
Interested applicants can apply to different offices through each of the three announcements on USAJOBS.gov: Possible recruitment incentives. Eastern US, Western US.
Applicants can apply to all three vacancy groups to maximize their chances. They can select up to ten locations for the “Eastern” and “Western” announcements. They can select an unlimited number of offices on the announcement with Possible Recruitment Incentives.
Apply early, as hiring is continuous and likely to begin several weeks after the announcements are posted. Applicants will be required to take an online assessment through the USA Hires platform, with an estimated completion time of 1-3 hours.
If you have questions about what it’s like to work at the National Weather Service or need advice on the federal process, Michael Jurewicz (Michael.Jurewicz@noaa.gov) at the local State College NWS office is happy to be a resource. In addition, this could be another helpful resource for those applying for NWS jobs, particularly for the first time.
The Cooperative Institute for Severe and High-Impact Weather Research and Operations (CIWRO) at The University of Oklahoma (OU) is currently seeking a Research Associate or Research Scientist to contribute to NOAA’s Warn-on-Forecast program in collaboration with CIWRO and National Severe Storms Laboratory (NSSL) scientists. The position focuses on advancing Warn-on-Forecast System version 2 (WoFSv2), a next-generation system that integrates physics-based modeling, advanced data assimilation (DA), and Artificial Intelligence (AI/ML). Built upon the regional MPAS-A dynamical core and the Joint Effort for Data Assimilation Integration (JEDI) framework, WoFSv2 explores emerging AI/ML technologies to optimize DA, model physics, and probabilistic hazard guidance. The position is part of the Data Assimilation and Modeling (DAM) team at CIWRO, located in the National Weather Center (NWC) in Norman, Oklahoma.
The duties of this position are:
Design, implement, and test AI/ML approaches for storm-scale ensemble DA and prediction within a hybrid physics–AI WoFSv2 framework.
Apply emerging AI/ML methods to improve ensemble design, ensemble generation, uncertainty representation, and workflow efficiency.
Develop and evaluate AI/ML methods for model physics, post-processing, bias correction, and probabilistic hazard guidance.
Contribute to peer-reviewed manuscripts and present results at conferences, workshops, and project meetings.
Collaborate with scientists to transition research advances into testbed-ready guidance and experiments.
(Research Scientist only) Build and sustain an independent research portfolio aligned with the priorities of the Warn-on-Forecast program, including lead-author peer-reviewed publications and competitive research proposals.
(Research Scientist only) Provide scientific leadership in conducting and coordinating research efforts to advance the Warn-on-Forecast System.
Qualifications
Ph.D. (Research Scientist) or M.S. (Research Associate) in Atmospheric Science, Meteorology, Computer Science, Data Science, or a related field.
Experience programming in Python or similar scientific computing languages.
Ability to work effectively in a collaborative, multidisciplinary research environment, with strong written and verbal communication skills.
Applicants should identify expertise within one or more of the following areas (an applicant need not demonstrate experience in all areas to be considered):
Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX).
Experience with AI/ML methods for geophysical applications, numerical weather prediction or data-driven modeling.
Experience with DA concepts, especially ensemble DA methods, and/or forecast verification.
How to Apply
Applications should be emailed to ciwro-careers@ou.edu, Attn: WoFS AI-ML, and include a cover letter, the names and contact information for three references, and your resume/CV. The cover letter must highlight your interest in the position and describe how you meet the position qualifications. Applications will be accepted until the position is filled. The starting date is negotiable.
CNN Weather is seeking an experienced, digital-first editor to lead and shape our features coverage, where science meets awe and explanation meets lived experience. This senior editor will be responsible for guiding our feature content across the natural world, space, Earth science, climate and travel. They will shape explanatory and experience-driven stories that connect audiences to the forces shaping the planet. The successful candidate thrives in building beautiful, durable journalism that creates curiosity and habit.
The ideal candidate has strong editorial judgment and editing skills, a deep appreciation for natural-world storytelling and a sharp instinct for framing complex topics in ways that are accessible, visually dynamic and emotionally resonant. They understand how to make science feel human and relevant. This person is a collaborative leader who can bring together meteorologists, reporters, visual journalists, illustrators, video producers and designers to create distinctive visually led features.
They will also work across the newsroom to take advantage of the expertise and experiences of CNN reporters and service journalists alike. They will ensure that our coverage reflects the full scope of our mission — pairing urgency with wonder, context with beauty, and expertise with delight. Finally, this person must embody the CNN Weather & Climate team’s ethos — we are looking for a self-motivated, team-oriented collaborator who takes pride in their craft, values diverse perspectives and elevates colleagues.
Your Role Accountabilities...
Identify and execute a features plan around weather, travel, space, science and our lived experience in the natural world
Develop and assign distinctive, visually rich story ideas that translate complex science into compelling digital experiences
Work across formats beyond the traditional article, including short-form, interactive, visual explainers, video scripts and social content
Serve as a senior editorial voice for features coverage, operating independently when needed
Work closely with meteorologists, climate reporters and science contributors to elevate their reporting into highly engaging, multi-platform formats
Collaborate with photo editors, video producers, illustrators and designers to ensure stories are visually ambitious and distinctive
Ensure that travel and experience-driven stories remain grounded in science and aligned with the team’s editorial mission
Balance timely news pegs with durable, evergreen storytelling that builds audience habit and affinity
Last but never least: Editors are often the final eyes on a story before it reaches millions of people worldwide. This editor will uphold CNN’s standards for accuracy, fairness and clarity, ensuring scientific precision and audience trust in every piece
Qualifications and Experience...
Significant digital editorial experience in science, climate, weather, space or environmental journalism
Demonstrated experience shaping explanatory or visually driven storytelling, particularly in a product or social format, like Snapchat Discover or Instagram or in news app products
Experience working with and coaching on-camera talent, helping experts translate complex ideas into compelling, personality-driven video formats
Strong editing skills with the ability to translate complex scientific material into accessible language without oversimplifying
Excellent news judgment, including the ability to identify both timely and durable opportunities
Experience collaborating with multidisciplinary teams, including visual and video partners
Strong headline and framing instincts that spark curiosity while maintaining credibility
Familiarity with Earth science, atmospheric science, climate systems or planetary science preferred
Ability to manage multiple projects simultaneously with minimal supervision
Exceptional communication and organizational skills
