
Applied Economics & Finance Benchmark Specialist
Posted Aug 24

Posted Aug 24
This is a fully remote position, open to applicants in United States.
• Develop and evaluate high-quality academic assessment materials for an AI research project.
• Compose and validate rigorous multiple-choice questions within the fields of economics and finance.
• Generate original and challenging questions while assessing their difficulty levels.
• Review existing questions for accuracy, clarity, and rigor; make necessary edits and document all modifications.
• Ensure questions are clear, self-contained, and precisely defined.
• Provide one correct answer along with nine plausible yet subtly incorrect alternatives.
• Craft step-by-step solutions in markdown format.
• Include 1–5 academic references per question from reputable sources.
• Identify and justify any issues related to clarity, completeness, precision, or solvability during the verification process.
• PhD or doctoral candidate in Economics, Finance, or a closely related discipline.
• A Master's degree may be acceptable for candidates with exceptional expertise in a specific subdomain.
• Strong grasp of graduate-level economic theory, quantitative methods, and financial modeling.
• Experience in academic research, CFA/CPA certification, or expertise in the financial industry is a significant advantage.
• Excellent written English skills with the ability to convey complex concepts clearly and concisely.
• Expected commitment of 10+ hours per week.
• Must operate as an independent contractor.
• Mercor is currently unable to support H1-B or STEM OPT candidates.
• Weekly payments via Stripe or Wise based on services performed.
• Fully remote work opportunities.
• Flexible scheduling, allowing you to work at your convenience.
• Projects may be extended, shortened, or concluded early based on needs and performance.
• Competitive compensation.
• Chance to collaborate with leading researchers.
• Opportunity to contribute to the development of the next generation of AI systems.
• Up to $400 referral reward for each successful referral.
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