Economics & Finance Research Expert – AI Benchmarking

This is a fully remote position, open to applicants in New York.

📋 Description

• Create original multiple-choice questions in economics and finance that assess deep conceptual and quantitative comprehension.

• Formulate challenging problems across pertinent topics in economics and finance.

• Craft self-contained, clear, unambiguous, and independently solvable questions for undergraduate, advanced undergraduate, and postgraduate levels.

• Generate one correct answer along with nine plausible distractors for each question.

• Evaluate pre-existing questions for accuracy, clarity, rigor, and completeness.

• Detect flawed assumptions, mathematical inaccuracies, ambiguities, and issues regarding solvability.

• Revise questions and answer options while documenting substantial changes with analytical justifications.

• Develop content related to quantitative finance and market microstructure, focusing on algorithmic trading, liquidity, execution, price formation, and trading behavior.

• Formulate macroeconomics and financial policy problems that address macroprudential policy, financial stability, systemic risk, monetary conditions, and policy interventions.

• Create questions in behavioral finance and experimental economics, interpreting experimental data and behavioral datasets.

• Develop content in urban economics and applied economic analysis covering cities, housing, labor markets, transportation, spatial economics, and public policy.

• Formulate questions on tokenomics and decentralized finance that include topics such as incentives, protocol economics, market mechanisms, governance, liquidity, pricing, risk, and participant behavior.

• Provide 1–5 academic references per question as necessary.

• Create structured solution explanations and assess question difficulty.

• Assist in maintaining consistent analytical and academic quality across benchmark content.

• Contribute to the development of gold-standard evaluation materials for advanced AI capabilities.

⛳️ Requirements

• A PhD or current doctoral candidacy in Economics, Finance, Financial Economics, Quantitative Finance, or a closely related field.

• A Master's degree may be considered for candidates who possess exceptional expertise in a relevant subdomain.

• Strong proficiency in graduate-level economic theory, quantitative methods, and financial modeling.

• Expertise in one or more areas: Algorithmic Trading, Market Microstructure, Macroprudential Policy, Behavioral Finance, Experimental Economics, Urban Economics, Tokenomics, or Decentralized Finance.

• Strong capability to analyze quantitative models, assumptions, and financial data.

• Excellent written English skills and the ability to communicate complex economic and financial concepts clearly and accurately.

• Academic research publications are highly appreciated.

• Professional experience in quantitative finance, investment research, economic policy, financial markets, or related fields is beneficial.

• CFA, CPA, FRM, or similar professional credentials are highly regarded.

• Experience in university-level teaching, examination development, or academic assessment is an advantage.

• Strong attention to analytical precision, mathematical consistency, and quality of evidence.

• Work must be conducted without utilizing confidential or proprietary information from any employer, client, institution, or third party.

• H1-B and STEM OPT support is not available for this engagement.

🏝️ Benefits

• Flexible scheduling based on project requirements.

• Fully remote and asynchronous work environment.

• Engagement as a part-time independent contractor.

• Expected availability of at least 10 hours per week.

• Projects may be extended, shortened, or concluded depending on project needs and performance.

• Compensation ranges from $65 to $90 per hour.