Weather Data Specialist

What you'll do

• Compare our forecasts with observed weather and official storm reports, and record where they matched or missed
• Collect and clean North American event data: tornado, hail and wind reports, floods, wildfire smoke episodes
• Label and review weather events so the engineering team can train and score the models
• Flag anything that looks wrong or unsafe before it reaches customers

What we look for

• Based in the United States, Canada or Mexico, and authorized to work there
• Solid knowledge of weather — from study (meteorology, atmospheric or earth science), work, or serious long-term interest
• Careful and consistent with detailed, repetitive work; comfortable with spreadsheets
• Good written English

How hiring works

1. Step 1

   Apply

   One page, about five minutes. Your LinkedIn and CV do most of the talking.

2. Step 2

   Verify your identity

   About three minutes: your phone, an ID document and a quick live selfie, run by Didit. Every candidate does this before an interview.

3. Step 3

   Book a 15-minute call

   Once you're verified, we email you a link to pick a time — weekdays, 8am–4pm Eastern Time (ET), at least 24 hours ahead. We read your application before we talk.

4. Step 4

   Talk and agree terms

   The intro call, a technical conversation about work you've actually done, then contract terms, rate and start date in writing.

Pay

$20 – $40 per hour as an independent contractor, depending on experience. We publish the range on every role so you know before you apply, not after three interviews.

About Ensemble Weather AI

We combine many independent AI weather models into one better-calibrated forecast and deliver it as an API — severe storms, nowcasting, air quality and long-range climate. It's early: the ingest pipelines, the ensembling layer and the v1 API are being built now, so the people who join next will own that core rather than maintain someone else's.