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
- 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
- Ensure all labels are 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)
All qualified applicants are considered without regard to legally protected characteristics, and reasonable accommodations are provided upon request.
**Contract and Payment Terms**:
- Engagement as an **independent contractor**
- Fully **remote role** with a versátil schedule
- Projects may be extended, shortened, or concluded early based on needs and performance
- **Weekly payments via Stripe or Wise** based on services rendered

📌 Meteorologists - Weather Model Labeling (HRrr) - Remote (México)
🏢 YO IT CONSULTING
📍 México