Remote | Economics & Finance Research Expert (AI Benchmarking) — $65–$90/hour
New York City, Richmond County, New York, USA
Listed on 2026-08-20
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Finance & Banking
Economics, Financial Analyst, Data Scientist, Financial Advisor / Consultant
Specialised Part-Time Consulting Opportunity
We are sharing a specialised part-time consulting opportunity for economists, finance professionals, and quantitative researchers with advanced expertise in economic theory, financial markets, quantitative methods, and applied financial modelling.
This role supports an AI research initiative focused on developing rigorous economics and finance benchmarks. Selected experts will author or verify challenging multiple-choice assessment content, evaluate analytical and quantitative accuracy, develop well-supported reference solutions, and help establish high-quality evaluation standards for advanced AI systems.
Key ResponsibilitiesEconomics & Finance Question Authoring
- Create original multiple-choice questions that test deep conceptual and quantitative understanding rather than surface-level recall
- Develop challenging problems within relevant areas of economics and finance expertise
- Ensure questions are self-contained, precise, unambiguous, and independently solvable
- Design questions appropriate for undergraduate, advanced undergraduate, and postgraduate difficulty levels
- Produce one correct answer alongside nine plausible and carefully constructed distractors
Question Verification & Academic Review
- Review pre-written economics and finance questions for accuracy, clarity, rigour, and completeness
- Identify flawed assumptions, mathematical errors, ambiguity, or solvability issues
- Edit questions and answer choices where required
- Verify that designated correct answers are supported by appropriate economic or financial reasoning
- Document substantive changes and explain the analytical rationale behind them
Quantitative Finance & Market Microstructure
- Develop assessment content involving algorithmic trading and quantitative financial markets
- Create problems addressing market microstructure, liquidity, execution, price formation, and trading behaviour
- Apply quantitative methods to realistic financial-market scenarios
- Evaluate modelling assumptions and interpretation of market data
- Design questions requiring careful mathematical and financial reasoning
Macroeconomics & Financial Policy
- Develop rigorous problems involving macroprudential policy and financial stability
- Evaluate interactions between financial institutions, markets, regulation, and the broader economy
- Create questions involving systemic risk, monetary and financial conditions, and policy interventions
- Apply graduate-level economic theory to policy scenarios
- Assess competing explanations and policy trade-offs using appropriate analytical frameworks
Behavioural Finance & Experimental Economics
- Develop questions involving behavioural decision-making in financial and economic contexts
- Apply concepts from behavioural finance and experimental economics
- Evaluate biases, preferences, incentives, and deviations from standard economic models
- Interpret experimental evidence and behavioural datasets
- Distinguish competing theoretical explanations for observed economic behaviour
Urban Economics & Applied Economic Analysis
- Develop assessment content involving cities, housing, labour markets, transportation, and spatial economics
- Evaluate economic relationships involving location, land use, agglomeration, and public policy
- Apply empirical and theoretical frameworks to urban economic problems
- Interpret quantitative evidence and policy effects
- Create problems requiring integration of economic theory with applied real-world scenarios
Tokenomics & Decentralised Finance
- Develop rigorous questions involving token economics and decentralised financial systems
- Evaluate incentive structures, protocol economics, market mechanisms, and governance models
- Create problems involving liquidity, pricing, risk, and participant behaviour in decentralised markets
- Apply economic and financial principles to digital-asset ecosystems
- Distinguish economically coherent models from superficially plausible but flawed alternatives
Academic Research & Benchmark Quality
- Provide 1–5 academic references per question where required
- Use reputable sources such as peer-reviewed journals, academic publications, and university repositories
- Develop clear, structured solution explanations…
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