Research Economist | Max Rate $74/hr
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Economist Type: Contract Compensation: $53–$74/hour Commitment: 20–30 hours/week Role Responsibilities
- Collaborate with AI researchers to train, evaluate, and refine AI models on economics-related tasks.
- Review and assess model outputs involving macroeconomics, microeconomics, finance, and econometrics.
- Provide expert feedback on the accuracy, reasoning, and interpretability of model-generated economic analyses.
- Contribute to the design of quantitative experiments for evaluating AI understanding of economic systems and data trends.
- Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to discuss experiments, iterate on results, and refine model performance.
Qualifications Must-Have
- Advanced degree or strong professional background in Economics, Econometrics, Finance, or a related quantitative field.
- Deep understanding of macroeconomic theory, microeconomic modelling, and statistical inference.
- Proficiency with economic modeling tools and data analysis software (e.g., Python, R, Stata, or MATLAB).
- Experience with simulation modeling, forecasting, or policy evaluation is highly valued.
- Excellent analytical writing, reasoning, and communication skills.
- Commitment of 20–30 hours per week, including required synchronous collaboration periods.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,
Research Economist | Max Rate $74/hr
About the role
About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
Position: Economist Type: Contract Compensation: $53–$74/hour Commitment: 20–30 hours/week Role Responsibilities
- Collaborate with AI researchers to train, evaluate, and refine AI models on economics-related tasks.
- Review and assess model outputs involving macroeconomics, microeconomics, finance, and econometrics.
- Provide expert feedback on the accuracy, reasoning, and interpretability of model-generated economic analyses.
- Contribute to the design of quantitative experiments for evaluating AI understanding of economic systems and data trends.
- Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to discuss experiments, iterate on results, and refine model performance.
Qualifications Must-Have
- Advanced degree or strong professional background in Economics, Econometrics, Finance, or a related quantitative field.
- Deep understanding of macroeconomic theory, microeconomic modelling, and statistical inference.
- Proficiency with economic modeling tools and data analysis software (e.g., Python, R, Stata, or MATLAB).
- Experience with simulation modeling, forecasting, or policy evaluation is highly valued.
- Excellent analytical writing, reasoning, and communication skills.
- Commitment of 20–30 hours per week, including required synchronous collaboration periods.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ,