History and Political Science Assessment Author for AI Research

Role Overview

Help advance AI research by creating and reviewing rigorous academic assessment content across history and political science. This role focuses on producing gold-standard multiple-choice benchmarks that test deep conceptual understanding rather than surface-level recall.

Key Responsibilities

• Complete either question-authoring or question-verification assignments.
• For authoring assignments, create original, challenging multiple-choice questions in your area of expertise, assign a difficulty rating, and submit them for review.
• For verification assignments, assess existing questions for accuracy, clarity, rigor, completeness, precision, and solvability; revise them as needed and document the rationale for changes.
• Cover domains including national security, public policy, business history, environmental history, and Latin American history.
• Ensure every question is unambiguous, self-contained, and precisely defined, with all necessary information included in the prompt.
• Classify questions as Medium, introductory undergraduate; Hard, advanced undergraduate; or Expert, postgraduate and above.
• Provide one correct answer and nine plausible but subtly incorrect alternatives designed to challenge expert-level solvers.
• Write clear, concise, step-by-step reasoning for solutions in Markdown format.
• Include one to five academic references per question from reputable sources, such as peer-reviewed journals and university repositories.

Qualifications

• PhD or doctoral candidacy in History, Political Science, International Relations, or a closely related field.
• A master''s degree may be considered for candidates with exceptional depth in a specific subdomain.
• Strong knowledge of historiographical methods, political theory, and comparative analysis.
• Research publications or policy experience is strongly preferred.
• Excellent written English and the ability to communicate complex ideas clearly and concisely.

Work Terms

• Fully remote, asynchronous hourly engagement.
• Expected commitment of at least 10 hours per week.

Compensation

$44 to $56 per hour.