Remote Meteorologists – Weather Model Labeling; HRRR - AI Trainer

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 (four 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.

• Interpret HRRR outputs at a specific time step.
• Identify key atmospheric features such as troughs, jet streaks, fronts, instability, and convection.
• Explain the physical mechanisms driving observed conditions, including vorticity advection, lift, moisture transport, and upper‑level divergence.
• Produce clear, structured, technically accurate written explanations.
• Ensure all labels are grounded strictly in HRRR data (no radar, satellite, or AFD references).

• Degree in Meteorology or 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.

• Behavioral interview focused on forecast reasoning and decision‑making.
• Short technical assessment involving a 500‑mb chart interpretation.