Truelancer AI is looking for exceptional Economics domain experts, researchers, and PhDs to contribute to an advanced AI Benchmarking Project.
Behavioral Economist Expert
Remote (Global)
$80/hr
February 28, 2026
Job description
AfterQuery is seeking Behavioral Economist Experts to create and refine behavioral economics challenges for training AI models. In this remote, flexible role, you will design and evaluate scenarios that test the AI's ability to interpret and apply complex behavioral economics principles, ensuring that our models can navigate real-world decision-making, cognitive biases, and choice architecture with precision and analytical insight. Your expertise will help bridge the gap between rigorous behavioral economics research and innovative AI solutions, making a tangible impact on the future of economic technology.
Required qualifications
- Master's or PhD degree in Economics, Behavioral Economics, Psychology, or related field.
- Proven experience in behavioral economics research, experimental design, or applied behavioral science with a robust understanding of behavioral theory and empirical methods.
- Proven experience in behavioral economics research, experimental design, or applied behavioral science with a robust understanding of behavioral theory and empirical methods.
Why apply
- Competitive Compensation: Benefit from attractive hourly rates that reward your specialized behavioral economics expertise.
- Innovative Impact: Work with a YC-backed startup revolutionizing AI with high-caliber behavioral science content and insights.
- Flexible Engagement: Enjoy the freedom of a remote, asynchronous role that allows you to integrate your behavioral economics expertise into pioneering projects on your own schedule.
Apply now
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Truelancer AI is looking for PhD researchers and early-career researchers in Economics to participate in a large-scale AI research, data validation, and quality evaluation project.
Truelancer AI is looking for PhD researchers and early-career researchers in Economics to participate in a large-scale AI research, data validation, and quality evaluation project.