OWOW
Website:
owowtalents.com
Job details:
We're building the data that teaches AI to think like a forecaster — and we need sharp statisticians to help us do it.
What You'll Do
You'll review time-series plots + brief context, then write structured causal chains explaining what drove the patterns you see. Think: root cause → mechanism → observable effect. Your outputs feed directly into AI training pipelines.
Your Day-to-Day
- Identify key patterns in time-series data (trends, regime shifts, anomalies, seasonality, volatility changes)
- Write tight, precise causal narratives — no fluff, no hand-waving
- Flag assumptions clearly, separate signal from noise
- Follow rubrics to ensure consistency across hundreds of examples
You're a Fit If You Have
- A background in Statistics, Mathematics, or Data Science
- Hands-on experience with time-series analysis & forecasting
- Strong English writing — clear, structured, and concise
- Comfort forming causal hypotheses from visual data alone
Bonus Points For Domain Knowledge In: Healthcare · Climate/Oceanography · Economics & Finance · Cloud Ops · Transportation
The Details
- Remote | Flexible hours
- 10 hours/week commitment
- Your work directly improves AI reasoning on real-world forecasting problems
Click on Apply to know more.