AfterQuery
AfterQueryVerified listing
Remote

Behavioral Economist Expert - Remote Contract

60–100/hr
Remote
Posted August 30, 2026
Contract
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Listing checked September 22, 2026 · pay as published by AfterQuery

Overview

AfterQuery builds training content that helps AI models reason through behavioral economics problems, and this contract asks you to create the hard cases. You will write questions and case studies that probe cognitive biases, prospect theory, loss aversion, framing effects, and choice architecture, then judge how well a model handles them. The role runs remote and async, with about 10 hours of work each week, so you can shape the schedule around your research or consulting. A YC-backed startup environment connects your behavioral science background to applied AI model evaluation. Collaboration with other behavioral scientists and technical experts keeps each challenge calibrated and useful.

What You'll Do4

  • 1Write behavioral economics questions and case studies that push AI models on cognitive biases, heuristics, prospect theory, loss aversion, framing effects, choice architecture, nudge design, and experimental design.
  • 2Build scenarios that test whether a model can apply behavioral theory to real-world decisions, not just recall definitions.
  • 3Review model answers for accuracy, validate them against behavioral economics research standards, and return detailed feedback that explains where reasoning fails.
  • 4Work with behavioral science and technical teammates to tune question difficulty so every item stays challenging and educational.

Requirements7

  • 1Master's or PhD in Economics, Behavioral Economics, Psychology, or a related field.
  • 2Proven experience in behavioral economics research, experimental design, or applied behavioral science.
  • 3Solid command of behavioral theory and empirical methods.
  • 4Several years of behavioral economics work across areas such as academic research, policy design, corporate consulting, or product design.
  • 5Published papers, experimental studies, or behavioral science initiatives on your record.
  • 6Hands-on work with nudge design, choice architecture, A/B testing, or behavioral interventions.
  • 7Familiarity with AI or technology-driven behavioral applications.

Who Should Apply

The strongest fit is an economist or behavioral scientist with a graduate degree and a track record of designing experiments, writing research instruments, or running nudge studies. You should enjoy turning behavioral theory into sharp questions that expose gaps in an AI model's reasoning, with a focus on cognitive biases, prospect theory, and choice architecture. The contract suits someone who can commit roughly 10 hours a week and work async with a distributed team. Candidates often score low when they list coursework without showing experimental design choices or measurable outcomes. The role is less suitable if you have no advanced degree, no applied behavioral research, or need a fixed daily schedule.

Salary Insight

The listing posts $60 to $100 per hour for contract work at about 10 hours per week. For PhD-level behavioral economics content used to train AI models, that band matches expert-network and AI training projects, where the upper end rewards multiple years of applied work, publications, or nudge design experience. No benefits or full-time conversion appear in the source, so treat this as a flexible side engagement rather than a staff role.

Location

Typeremote
LocationRemote
This is a remote position

Compensation

$60–100/hr

Required Skills

behavioral economicsexperimental designcognitive biasesheuristicsprospect theoryloss aversionframing effectschoice architecturenudge designa/b testingbehavioral interventionsapplied behavioral scienceeconomicspsychologyempirical methodsresearch designai model evaluation

Application Tip

Pick one behavioral economics project where you designed an experiment, nudge, or choice architecture study, then describe the intervention, sample, and result in two or three lines. Name the exact concepts you used, such as loss aversion, framing effects, or A/B testing, and add any AI or tech-driven behavioral work. That specificity helps a reviewer see your fit faster than a general summary of your degree.

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