Member of Technical Staff, Economics Research

About the role

A full-time remote research role building rigorous frameworks to measure AI performance on economic reasoning and research tasks. The work sits where economics, language models and applied AI research meet.

What you will do

• Design benchmarks, scoring methods and rubrics for economic reasoning tasks
• Develop datasets and test cases covering empirical analysis and policy questions
• Evaluate model-generated economic analysis for validity and robustness
• Apply econometric and causal-inference methods to evaluation problems
• Analyse model failure modes and turn them into new research questions
• Assess agentic workflows and multi-step reasoning chains for reliability

What they look for

• A PhD in economics or a closely related quantitative field
• Three to five years of post-PhD applied economic research experience
• Strong econometrics, applied microeconomics and causal inference expertise
• Quantitative and statistical analysis skills with large datasets
• Proficiency in SQL and Python, R or similar statistical tools
• Expertise in labour economics, macroeconomics, industrial organisation or related areas

Nice to have

• Experience developing AI evaluations, benchmarks or agentic economic systems

Pay

USD 400,000 to 800,000 per year