Political Science Expert - Fully Remote | Upto $56/hr
Mercor · Remote, US only
44 - 56 USD / Hora · Publicado el 10 nov 2026
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Sobre el empleo
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Applied History & Political Science Benchmark Specialist
Type:Contract
Compensation:$44–$56/hour
Location:Remote
Commitment:10+ hours/week
Role Responsibilities
- Author original history and political science questions that test deep conceptual understanding.
- Ensure questions are unambiguous, self-contained, and precisely defined.
- Rate each question's difficulty: Medium, Hard, or Expert.
- Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.
- Write step-by-step Chain-of-Thought solutions with clear reasoning in markdown format.
- Supply 1–5 academic references per question from reputable sources.
- For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made.
Qualifications
Must-Have
- PhD or doctoral candidate in History, Political Science, International Relations, or a closely related field.
- Master's degree considered for candidates with exceptional depth in a specific subdomain.
- Strong command of historiographical methods, political theory, and comparative analysis.
- Excellent written English and ability to express complex ideas clearly and concisely.
Preferred
- Research publications or policy experience is a strong plus.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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