Remote Econometrics Instructor for AI Training

Alignerr Corp.; España; Remoto; EUR 37.000 - 74.000; Part-time

Vantaggi offerti da questo lavoro

Fully remote

Flexible schedule

Autonomy

Global collaboration

Potential contract extensions

Descrizione del lavoro

Alignerr Corp. is seeking experienced econometrics instructors to evaluate and improve AI systems that reason about statistical methods, economic models, and causal inference.

You will help shape how AI explains complex quantitative economics concepts and contribute to cutting-edge AI tools. Ideal candidates have 3+ years teaching econometrics or quantitative economics, strong knowledge of regression, causal inference, and time series, plus experience with R, Stata, or Python.

Competenze

• 3+ years of experience teaching econometrics or quantitative economics at the university level.
• Strong command of regression analysis, causal inference, time series, and core statistical methods.
• Able to clearly evaluate and explain quantitative reasoning in written form.
• Comfortable reviewing structured, technical content with precision and consistency.
• Self-motivated and reliable when working independently.

Mansioni

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, assumptions, and interpretation of results across a range of methods
• Identify errors, edge cases, and logical gaps in AI-generated quantitative reasoning
• Provide structured, actionable feedback to improve model clarity and correctness
• Apply your real-world teaching experience to ensure explanations are both rigorous and accessible
• Work independently and asynchronously on your own schedule

Conoscenze

Econometrics teaching

Quantitative economics

Causal inference

Time series analysis

Statistical methods

Written communication

Formazione

Master's degree in Economics/Statistics

PhD in Economics/Statistics

Strumenti

R

Stata

Python

Descrizione del lavoro

Alignerr Corp. is seeking experienced econometrics instructors to evaluate and improve AI systems that reason about statistical methods, economic models, and causal inference.

You will help shape how AI explains complex quantitative economics concepts and contribute to cutting-edge AI tools. Ideal candidates have 3+ years teaching econometrics or quantitative economics, strong knowledge of regression, causal inference, and time series, plus experience with R, Stata, or Python.