Local Politics Expert – Remote in Toronto

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.

What you will do:

• 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.

Who we are looking for:

• 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.
• 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.

Not a fit:

• 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.

Point-in-time discipline:

Every task is graded on reasoning from the stated cutoff without hindsight, data leakage, confidential information, or material non-public information.