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