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