Remote Econometrics Instructor for AI Training

Alignerr; France; Sur place; EUR 14 000 - 55 000; Plein temps

Avantages offerts par ce poste

Autonomy

Variety of projects

Global collaboration

Flexible schedule

Résumé du poste

Alignerr is seeking experienced econometrics instructors to help train AI systems. You will review econometric questions, assess statistical methods, and provide precise feedback on AI training datasets while working remotely on a flexible schedule.

Ideal candidates have 3+ years of college/university teaching experience in econometrics, strong regression and causal inference skills, and proficiency with R, Stata, or Python.

Qualifications

• 3+ years teaching econometrics at college/university level.
• Strong command of regression analysis, causal inference, and applied statistics.
• Ability to clearly evaluate and explain complex quantitative reasoning.
• Comfortable reviewing structured, technical content with precision.
• Self-motivated and reliable; able to manage time and meet deadlines.

Responsabilités

• Review econometric questions, models, and explanations used in AI training datasets.
• Assess statistical accuracy, assumptions, and results interpretation.
• Identify errors, gaps, and edge cases that could mislead AI reasoning.
• Provide clear, structured feedback to improve model outputs.
• Apply teaching and research experience to elevate content quality.
• Work independently and asynchronously.

Connaissances

Regression analysis

Causal inference

Applied statistics

Explain complex reasoning

Formation

Master's or PhD in Economics/Statistics

Outils

R

Stata

Python

Description du poste

Alignerr is seeking experienced econometrics instructors to help train AI systems. You will review econometric questions, assess statistical methods, and provide precise feedback on AI training datasets while working remotely on a flexible schedule.

Ideal candidates have 3+ years of college/university teaching experience in econometrics, strong regression and causal inference skills, and proficiency with R, Stata, or Python.