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)