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
- Explicit 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.

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