Remote Econometrics AI Training Instructor
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
By continuing, you agree to our Terms & Privacy Policy.
Apply statistical methods and causal inference remotely as an Econometrics Instructor shaping AI training through expert review. Work flexibly on a contract basis.
Alignerr, powered by Labelbox, seeks experienced econometrics instructors and quantitative economists. You will evaluate AI-generated questions, models, and explanations while applying regression analysis, economic reasoning, and applied statistical methods. The work is hourly, task-based, and remote.
Key Responsibilities:
- Review AI-generated econometric questions, models, and explanations
- Assess statistical assumptions, methodology, and result interpretation
- Identify errors, logical gaps, and quantitative edge cases
- Provide structured feedback to improve AI model outputs
- Evaluate AI communication of complex econometric concepts
Requirements:
- Three-plus years teaching econometrics or quantitative economics
- Strong regression analysis and causal inference knowledge
- Command of applied statistical methods
- Clear written evaluation of quantitative reasoning
- Ability to work independently and asynchronously
Bring econometrics teaching expertise, statistical precision, and causal inference knowledge to Alignerr's remote AI training work.