Econometrics Instructor

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

About The Role

We’re looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your deep knowledge of statistical methods and economic reasoning will directly influence how AI systems understand, explain, and apply econometric concepts — work that matters at a global scale.

Econometrics Instructor (AI Training)

About The Role

We’re looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your deep knowledge of statistical methods and economic reasoning will directly influence how AI systems understand, explain, and apply econometric concepts — work that matters at a global scale.

This is a fully remote, flexible contract role powered by Alignerr (by Labelbox), one of the leading platforms connecting subject-matter experts with cutting-edge AI research.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, underlying assumptions, and the 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

Who You Are

• 3+ years of experience teaching econometrics or quantitative economics at a 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 — you can manage your own time and meet deadlines

Nice to Have

• Master’s or PhD in Economics, Statistics, or a related field
• Proficiency in statistical tools such as R, Stata, or Python
• Familiarity with AI model evaluation or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects alongside top research labs
• Fully remote and flexible — set your own hours and work from anywhere
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that shapes how AI handles real economic reasoning
• Potential for ongoing work and contract extension