Meteorologists – Weather Model Labeling (HRRR) - Remote

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 flexible schedule
• Projects may be extended, shortened, or concluded early based on needs and performance
• Weekly payments via Stripe or Wise based on services rendered

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