Meteorologist data analyst
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Meteorologist for AI Model Training
Type: Contract
Compensation: $45–$55/hour
Role Responsibilities
- Interpret High-Resolution Rapid Refresh (HRRR) outputs at specific time steps.
- Identify key atmospheric features such as troughs, jet streaks, fronts, instability, and convection.
- Explain physical mechanisms driving observed conditions, including vorticity advection, lift, moisture transport, and upper-level divergence.
- Produce clear, structured, and technically accurate written explanations.
- Ensure all labels are grounded strictly in HRRR data without external references.
Qualifications
Must-Have
- 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.
Interview Process
- Behavioral interview focusing on forecast reasoning and decision-making.
- Short technical assessment involving 500 mb chart interpretation.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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