Iowa political expert authoring election forecasts and political-risk reports for Mercor. Producing point-in-time judgments to train and evaluate frontier AI models.
Responsibilities
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 a personal expert standard
Produce expert-authored forecasting and research data for evaluating and improving AI models on political and financial analysis
Requirements
Hands-on experience on specific races in Iowa, including current or upcoming Senate, governor, or statewide contests, or recent cycles in the same state
On-the-ground knowledge of the electorate, candidates, and local political environment
Experience as a university political scientist, state or regional pollster, state-level campaign or party analytics staff member, or state political-risk analyst
Record of making live judgments about polling, win probabilities, or odds in relevant races, not retrospective commentary
Strong polling literacy and causal event analysis
Typically 8+ years of direct experience, or unusually strong evidence of equivalent performance
Experience with current or recent US races in the state covered
Ability to reason from a stated evidence cutoff without hindsight, data leakage, confidential information, or material non-public information
Must not be an H1-B or STEM OPT candidate
Benefits
Fully remote role
Flexible own schedule
Projects may be extended, shortened, or concluded early depending on needs and performance
Weekly payments via Stripe or Wise based on services rendered
Competitive pay
Collaboration with leading researchers
Opportunity to help shape next-generation AI systems
Local Iowa political expert producing point - in - time election forecasts and political - risk analysis. Mercor uses expert data to train and improve frontier AI models.
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