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- Tasks: Analyse HRRR outputs and create clear, accurate weather labels.
- Company: Join Mercor, a leader in AI-driven meteorological solutions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact on AI weather forecasting with your expertise.
- Qualifications: Degree in Meteorology or 2+ years of forecasting experience required.
- Other info: Collaborative team environment with a focus on innovation.
The predicted salary is between 36000 - 60000 £ per year.
Mercor is hiring experienced meteorologists to help train a large-scale physics AI model by interpreting High-Resolution Rapid Refresh (HRRR) outputs. You will analyze single-frame HRRR model visualizations (4 images per timestamp) and produce high-quality natural-language labels that clearly explain:
- What weather phenomena are present, and
- Why they are occurring, based strictly on the model data.
This is a high-judgment, expert role for meteorologists comfortable diagnosing synoptic and mesoscale features directly from model fields.
What You’ll Do
- Interpret HRRR outputs at a specific time step
- Identify key atmospheric features (e.g., troughs, jet streaks, fronts, instability, convection)
- Explain the physical mechanisms driving observed conditions (e.g., vorticity advection, lift, moisture transport, upper-level divergence)
- Produce clear, structured, technically accurate written explanations
All labels must be grounded strictly in HRRR data (no radar/satellite/AFD references).
Requirements
- Degree in Meteorology / Atmospheric Science OR 2+ years of operational forecasting experience
- Strong synoptic and mesoscale analysis skills
- Deep understanding of atmospheric dynamics and thermodynamics
- Clear, precise technical writing ability
Evaluation Process
- Behavioral interview (forecast reasoning & decision-making)
- Short technical assessment (500 mb chart interpretation)
Meteorologists – Weather Model Labeling (HRRR) employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Meteorologists – Weather Model Labeling (HRRR)
✨Tip Number 1
Get to know the company! Before your interview, do a bit of digging into Mercor. Understand their mission and values, and think about how your skills as a meteorologist align with what they’re doing. This will help you stand out and show that you’re genuinely interested.
✨Tip Number 2
Practice makes perfect! Brush up on your synoptic and mesoscale analysis skills. You might be asked to interpret HRRR outputs during the interview, so being comfortable with those model visualisations will give you a leg up. Don’t forget to articulate your thought process clearly!
✨Tip Number 3
Prepare for the behavioural interview! Think of examples from your past experiences where you’ve had to make tough forecasting decisions or explain complex weather phenomena. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 4
Apply through our website! We want to see your application come through directly. It shows initiative and gives us a chance to connect with you right away. Plus, it’s the best way to ensure your application gets the attention it deserves!
We think you need these skills to ace Meteorologists – Weather Model Labeling (HRRR)
Some tips for your application 🫡
Show Off Your Meteorology Skills: Make sure to highlight your degree in Meteorology or any relevant experience you have. We want to see your strong synoptic and mesoscale analysis skills shine through in your application!
Be Clear and Precise: When writing your application, focus on being clear and precise. We’re looking for technically accurate explanations, so make sure your writing reflects that expertise. Avoid jargon unless it’s necessary!
Ground Everything in HRRR Data: Remember, all your labels need to be strictly based on HRRR data. Avoid referencing radar or satellite data. Show us you can interpret the model outputs effectively and explain the phenomena accurately.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and keep everything organised. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Mercor
✨Know Your HRRR Inside Out
Before the interview, make sure you’re well-versed in High-Resolution Rapid Refresh outputs. Familiarise yourself with interpreting the model visualisations and practice explaining the weather phenomena they depict. This will help you articulate your thought process clearly during the interview.
✨Brush Up on Atmospheric Dynamics
Since this role requires a deep understanding of atmospheric dynamics and thermodynamics, review key concepts like vorticity advection and moisture transport. Be prepared to discuss how these mechanisms influence weather patterns, as this knowledge will be crucial for your technical assessment.
✨Practice Clear Technical Writing
Given that producing clear, structured labels is part of the job, practice writing concise explanations of various weather phenomena. Focus on clarity and accuracy, ensuring that your descriptions are grounded strictly in HRRR data. This will not only help in the interview but also in the role itself.
✨Prepare for Behavioural Questions
Expect behavioural questions that assess your forecasting reasoning and decision-making skills. Think of examples from your past experience where you successfully diagnosed weather features or made critical decisions based on model data. Use the STAR method (Situation, Task, Action, Result) to structure your responses.