Behavioral Economist — AI Evaluation
Job Description
Create behavioral-economics cases and evaluate how well AI applies evidence about human decisions.
What you will do
• Develop problems involving biases, heuristics, prospect theory, loss aversion and framing.
• Create and assess cases on choice architecture, nudges and experimental design.
• Review generated explanations against behavioral theory and empirical research.
• Explain errors and help calibrate the difficulty and usefulness of evaluation cases.
Required background
• A master’s or PhD in economics, behavioral economics, psychology or a related field.
• Research, experimental-design or applied behavioral-science experience, with a strong grasp of theory and empirical methods.
Preferred background
• Several years of work across research, policy, consulting, product design or other applied settings.
• Behavioral-science publications, experimental studies or related initiatives.
• Experience designing nudges, choice architectures, A/B tests or behavioral interventions.
• Familiarity with AI or technology-based behavioral applications.
Availability
• Remote and asynchronous.
Pay and engagement
$84/hour
Amounts are in USD.
Your hourly rate and scope are agreed before work begins.