Economics Expert in Modeling and Causal Analysis

You will support economic analysis and modeling for real-world business and policy questions. The work involves applying economic reasoning, econometric methods, and statistical analysis to real datasets and producing clear, well-supported conclusions.

• Build empirical models using regression, panel data, causal inference, and other statistical methods.
• Improve model quality through variable construction, robustness checks, and sensitivity analysis.
• Document methods, assumptions, and analytical choices clearly.
• Explain analytical conclusions in a way that is accessible to non-specialists.

What it pays and takes

This is project-based analytical work for a quantitative professional who can work independently on technical tasks. Helpful experience includes causal inference, econometrics, programming, applied machine learning, empirical analysis, or teaching statistics and econometrics.

• Pay: $80 per hour.
• Experience: 1 to 3 years in economics, econometrics, policy analysis, data analytics, or a related quantitative field.
• Education: A master’s degree in economics, econometrics, public policy, or a related quantitative discipline is required.
• Research: At least one first-author publication or equivalent first-author work.
• Skills: Strong problem-solving, statistical reasoning, real-data analysis, and clear explanation of methods.
• Language: Professional fluency in English.
• Location: Open to candidates in the countries listed for this role.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site. OpenTrain is where you find the role and start your application; the hiring organization handles the next application step.

About AI training work

AI training is the human work behind artificial intelligence, including preparing examples, reviewing outputs, and providing expert analysis that helps models improve. People with economics and quantitative expertise are needed when projects require careful reasoning, sound methods, and accurate evaluation of complex questions.