The work
You will review AI-generated economics content and work submitted by trainers and quality reviewers. Your feedback will help keep economics training work accurate, clear, and aligned with project rubrics.
The role combines detailed review with quality leadership. You will assess economic reasoning, identify recurring issues, support remote contributors, and help improve review processes and documentation.
- Review economics AI training work for accuracy, reasoning quality, assumptions, and rubric adherence.
- Evaluate explanations, calculations, graphs, policy claims, data interpretation, and step-by-step reasoning.
- Identify flawed assumptions, causal errors, misleading graphs, weak data interpretation, and unsupported conclusions.
- Give clear written feedback to trainers and quality reviewers.
- Maintain style guides, FAQs, trackers, examples, onboarding materials, and other project documentation.
- Support onboarding and training for remote expert teams.
- Monitor recurring quality issues and help improve scalable quality assurance workflows.
What it pays and takes
This is a remote, part-time contractor role open to candidates in the United States and India. The work requires professional fluency in English for written feedback and team coordination.
- Pay: $20 to $90 per hour.
- Time: 20+ hours per week.
- Location: Open to candidates in the United States and India.
- Work type: Remote contractor and part-time.
- Background: Strong training in Economics, Applied Economics, Econometrics, Public Policy, Finance, Statistics, Mathematics, or a closely related field.
- Experience: Economics research, teaching, policy analysis, economic consulting, data analysis, econometrics, content review, or a related analytical workflow.
- Knowledge: Microeconomics, macroeconomics, market structures, supply and demand, elasticity, externalities, monetary and fiscal policy, inflation, unemployment, trade, growth, and basic econometric reasoning.
- Preferred tools and experience: Regression analysis, causal inference, economic modeling, Excel, R, Python, Stata, public datasets, policy briefs, or academic economics writing.
- Strongly preferred: Experience leading or supporting remote teams of analysts, researchers, reviewers, educators, annotators, or quality reviewers.
- Additional advantage: Experience with AI training, data annotation, large language model evaluation, economic quality assurance, academic review, or rubric-based review.
How it works
Start your application on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is a free platform where people find AI training roles and begin their applications.
About AI training work
AI training is the human work behind artificial intelligence. People review model responses, evaluate accuracy, label data, and give feedback so AI systems learn from better examples. Experienced professionals are needed when the work requires subject knowledge, careful judgment, and clear explanations, such as reviewing economics content.