You will help improve how AI handles complex economic questions. The work involves reviewing AI-generated content and giving structured feedback based on economic theory, research, and evidence.
- Evaluate AI-generated economic content for rigor, accuracy, and overall quality.
- Use economic reasoning and econometric judgment to assess complex questions.
- Give structured feedback on markets, institutions, and evidence-based decisions.
- Follow detailed project guidelines while working independently.
- Review topics such as microeconomics, macroeconomics, econometrics, labor, public, finance, trade, development, behavioral, health, environmental, and urban economics.
What it pays and takes
This is part-time, project-based contract work that can be completed alongside primary employment. New assignments become available on an ongoing basis.
- Pay: Up to $75 per hour.
- Time: 20+ hours per week.
- Location: Open to candidates in the United States.
- Language: Fluent in English.
- Education: Completed PhD in Economics or a closely related field, or advanced PhD candidacy with coursework completed.
- Research: Peer-reviewed publications, working papers, or conference presentations.
- Expertise: Deep knowledge in at least one area such as economic theory, econometrics and causal inference, monetary policy, market design, welfare analysis, finance, or a related applied field.
- Skills: Strong formal analysis, research ability, written communication, attention to detail, and independent working skills.
- Relevant backgrounds include university faculty, postdoctoral researchers, and senior PhD students or candidates, typically ABD or in their third year or beyond.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses human review to help artificial intelligence produce more accurate and useful results. People with specialized knowledge are needed to assess difficult subjects, explain errors, and improve how AI handles expert questions.