We are building expert-authored forecasting and research data used to evaluate and improve AI models on real political and financial analysis. Each task asks a practitioner to reason from a fixed evidence cutoff — no hindsight — and document the judgment a strong analyst would have made at that moment.
This role covers political report authorship: elections, polling, and political-risk events.
Author point-in-time political reports and forecasts from a stated evidence cutoff
Make and document directional judgments about polling, win probabilities, and market-implied odds
Explain the causal mechanism behind an event's expected political and market impact
Review model-generated analyses and grade them against your own standard
Local political analysts with hands-on experience on specific races in swing states: current or upcoming Senate, governor, or statewide contests, or recent cycles in the same state
On-the-ground knowledge of the electorate, the candidates, and the local political environment, from roles such as university political scientist, state or regional pollster, state-level campaign or party analytics staff, or state political-risk analyst
A record of making live judgments about polling, win probabilities, or odds in those races — not retrospective commentary
Strong polling literacy and causal event analysis
Typically 8+ years of direct experience, or unusually strong evidence of equivalent performance
Backgrounds we look at first: political science departments and survey research centers at universities in the target states, state and regional pollsters, state-level campaign and party analytics teams, and decision desks or race-ratings outlets with state-specific coverage. National forecasting or political-risk experience is welcome when paired with deep knowledge of a specific state. Brand-name experience is a strong first-pass signal but is not a hard requirement — direct experience and performance on the work sample determine who qualifies.
Profiles whose experience is mainly international politics, geopolitics, or country risk, with little or no work on US races
Analysts who have not worked on a current or recent US race in the state they would cover
Pure communications or journalism profiles without demonstrated forecasting, polling, or probabilistic judgment
Academic profiles whose work is purely theoretical, with no analysis of live races
Every task is graded on reasoning from the stated cutoff without hindsight, data leakage, confidential information, or material non-public information.