We’re seeking Statisticians with strong English writing skills to join our Deep Research for Forecasting project. In this role, you will review time-series plots (a quantity of interest over time) along with brief contextual descriptions, then identify the most meaningful patterns in the data and produce concise, well-reasoned causal chains explaining what likely drove those patterns.
Your work will help create high-quality tasks used to train and evaluate AI systems on forecasting-related reasoning. You will focus on distinguishing signal from noise, articulating plausible mechanisms (root cause → intermediate drivers → observed time-series impact), and writing explanations that are clear, grounded, and useful for downstream model training.
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Remote Statistician — Time-Series Insights Writer (AI Training) - AI Trainer • Evans, Colorado, US
DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule....[internal_linking.show_more]
DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule....[internal_linking.show_more]
We’re seeking Statisticians with strong English writing skills to join our Deep Research for Forecasting project.In this role, you will review time-series plots (a quantity of interest over time) a...[internal_linking.show_more]
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