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
Transparent 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.

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📌 Remote Econometrics AI Training Instructor (Ontario)
🏢 Alignerr
📍 Ontario