Remote Econometrics Instructor for AI Training

Alignerr Corp.; España; Presencial; EUR 34.000 - 83.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Global collaboration

Descripción de la vacante

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

You'll review questions and explanations in AI training data, assess statistical accuracy, identify errors, and provide structured feedback. Remote, hourly contract with flexible hours and potential for ongoing collaboration.

Formación

• 3+ years teaching econometrics or quantitative economics at university level or equivalent.
• Strong command of regression analysis, causal inference, time series and core statistical methods.
• Able to clearly evaluate and explain quantitative reasoning in written form.

Responsabilidades

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

Conocimientos

Econometrics teaching

Quantitative economics

Regression analysis

Causal inference

Time series

Written communication

Educación

Master's or PhD in Economics/Statistics

Herramientas

R

Stata

Python

Descripción del empleo

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

You'll review questions and explanations in AI training data, assess statistical accuracy, identify errors, and provide structured feedback. Remote, hourly contract with flexible hours and potential for ongoing collaboration.