Economics Quality Assurance Lead

The Work

As an Economics Quality Assurance Lead, you will review AI-generated economics content and submissions from trainers and quality reviewers. You will check work against project rubrics and give clear written feedback that helps contributors produce accurate, consistent results.

You will also track recurring issues, support remote expert onboarding, maintain project materials, and help improve quality workflows.

• Review economics AI training work for accuracy, reasoning quality, assumptions, and rubric compliance.
• Assess economics 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 precise feedback to trainers and quality reviewers about recurring issues and expected standards.
• Maintain style guides, FAQs, trackers, examples, onboarding materials, and other project documentation.
• Support onboarding and training for remote teams of economics contributors.
• Help identify workflow improvements and scalable quality assurance processes.

What It Pays and Takes

This is a part-time remote contractor role for an experienced economics professional. The work requires strong analytical judgment, careful review against detailed rubrics, and clear written communication in English.

• Pay: $20 to $90 USD per hour.
• Time: 20 or more hours per week.
• Location: Applicants must be based in India or the United States.
• Language: Strong written and spoken English.
• Experience level: Intermediate.
• Background: Economics, applied economics, econometrics, public policy, finance, statistics, mathematics, or a closely related field.
• Relevant experience: Economics research, teaching, policy analysis, economic consulting, data analysis, econometrics, content review, or similar analytical work.
• 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.
• A plus: Experience with AI training, data annotation, large language model evaluation, economic quality assurance, academic review, or rubric-based review.

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 systems learn from accurate examples and useful feedback. Economics experts are needed to judge reasoning, calculations, evidence, and assumptions that general reviewers may not be able to assess.