Remote Econometrics Instructor for AI Training

Alignerr Corp.; France; Remote; EUR 55,000 - 110,000; Full time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr (Powered by Labelbox) is seeking experienced econometrics instructors to shape AI training datasets and explanations. You will review econometric questions, model validity, and interpretation quality, contributing to global AI research with flexible, remote, hourly work.

Ideal candidates have 3+ years teaching econometrics or quantitative economics, strong regression and causal inference skills, and proficiency in R, Stata, or Python.

Qualifications

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

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess statistical accuracy, underlying assumptions, and quality of results interpretation.
• Identify errors, logical gaps, and edge cases that could mislead AI reasoning.
• Provide clear, structured feedback to improve model outputs and explanatory clarity.
• Apply your real-world teaching and research experience to elevate the quality of AI-generated quantitative content.
• Work independently and asynchronously — on your own schedule.

Skills

Regression analysis

Causal inference

Applied statistics

Econometrics

Explain complex quantitative reasoning

Statistical tools

Education

Master’s or PhD in Economics/Statistics or related field

Tools

R

Stata

Python

Job description

Alignerr (Powered by Labelbox) is seeking experienced econometrics instructors to shape AI training datasets and explanations. You will review econometric questions, model validity, and interpretation quality, contributing to global AI research with flexible, remote, hourly work.

Ideal candidates have 3+ years teaching econometrics or quantitative economics, strong regression and causal inference skills, and proficiency in R, Stata, or Python.