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Local Political Expert — Elections Forecasting & Political Risk

STEP 1 · PRACTICE FIRSTTake a free AI practice interview for this kind of roleGet my practice interview ↓
STEP 2 · APPLYApply on Mercor when you’re readyApply on Mercor →

You apply directly on Mercor's site. Applying is free. Posted Sep 21, 2026.

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STEP 1 · PRACTICE BEFORE YOUR REAL INTERVIEW

Get your free practice interview for this role

Mercor screens applicants online, often with an AI interview. micro1 offers a free, 18-minute AI practice interview with feedback, and we picked the one closest to this role: Data Annotator. It covers:

Instruction FollowingAttention to DetailLogical Reasoning

Here’s your practice interview

Allow your microphone when it asks, find a quiet spot, and give yourself about 20 minutes. We’ve also emailed you the link and the free ebook.

Step 2: when you feel ready, apply.

Apply on Mercor →

The practice interview is free and run by micro1. Land Remote Jobs is an independent job board, not part of micro1, Mercor or Turing. Practising helps you prepare; it can’t guarantee the result of your real interview. Want more tips? Read our guide to acing the remote job interview.

STEP 2 · APPLY

Apply for this role

You apply on Mercor's own site. It’s free, and you can apply even if you skip the practice.

Apply on Mercor →

Who this role suits

Researchers and PhD holders who want to use their subject expertise on remote, flexible projects.

Full job description

About the work

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, 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.

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.

Last checked open on Oct 28, 2026. Job description provided by Mercor.

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