Meteorologists – Weather Model Labeling (HRRR)

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)