Quantitative Economist

DataAnnotation; United States; Remoto; USD 142.000 - 202.000; Part-time

Descrizione del lavoro

DataAnnotation is seeking an experienced Quantitative Economist to help train AI models. You will judge how frontier models reason about economic questions, evaluate data and methods, and write analyses that a working economist would stand behind.

This remote independent-contractor role offers flexible hours and weekly payouts. You will compare analyses, evaluate model outputs for rigor, identify flawed assumptions, and explain your judgments clearly.

Competenze

• PhD in economics or master's degree preferred.
• Experience as a research economist or economic analyst preferred.
• Familiarity with empirical methods and econometrics.

Mansioni

• Compare two competing analyses of the same question and judge which one an economist would rely on.
• Evaluate model output for analytical soundness, correct use of data, and appropriate methodology.
• Identify flawed assumptions, misread results, overstated conclusions, and gaps in reasoning.
• Write clear, well-structured explanations of your judgments and the standards behind them.
• Apply your domain knowledge to realistic problems drawn from applied economic research.

Conoscenze

Written English

Formazione

PhD in Economics (completed or in progress)

Master's in Economics

Undergraduate Economics/Finance/Business

Descrizione del lavoro

Pay: up to $125+ /hour (depends on task difficulty and specialization)

Location: Remote · Type: Independent contractor · Hours: Flexible hours · Payouts: Weekly

Overview

We’re looking for an experienced Quantitative Economist to help train AI models. You’ll judge how well frontier models reason about economic questions, check their use of data and methods, and write the analysis a working economist would stand behind.

This is a new and growing area for our company: teaching AI to reason like an economist. The models can summarize the literature. What they can’t yet do reliably is weigh competing analyses of the same question, spot a flawed identification strategy, or tell an overstated conclusion from a supported one. Your judgment becomes the benchmark they are measured against.

What you’ll actually do

• Compare two competing economic analyses of the same question and judge which one an economist would rely on.
• Evaluate model output for analytical soundness, correct use of data, and appropriate methodology.
• Identify flawed assumptions, misread results, overstated conclusions, and gaps in reasoning.
• Write clear, well-structured explanations of your judgments and the standards behind them.
• Apply your domain knowledge to realistic problems drawn from applied economic research.

Roles this fits

Common backgrounds: Quantitative Economist, Econometrician, Economics PhD Candidate.

What we look for

• A PhD in economics (completed or in progress) or a master’s degree in economics is preferred. Undergraduate degrees in economics, finance, or business are also considered.
• Professional experience as a research economist, economic analyst, or in a similar applied role is preferred.
• Familiarity with empirical methods, econometrics, and the interpretation of applied economic research.
• Comfort working with US federal economic data is a plus.
• Clear written English: your explanations are the training signal.
• Only applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States will be considered for this role.

Compensation

Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.