Remote Econometrics Instructor for AI Training

Alignerr Corp.; Dallas (TX); Remote; USD 55,000 - 124,000; Part time

Job summary

Alignerr Corp. is seeking experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis.

You will shape how AI explains regression, causal inference, and econometric modeling for researchers, students, and professionals worldwide. This remote, hourly-contract role offers 10–40 hours per week and requires strong teaching background, precision, and the ability to work independently on a flexible

Qualifications

• 3+ years of experience teaching econometrics, quantitative economics, or related fields.
• Strong command of regression analysis, causal inference, and applied statistical methods.
• Able to clearly evaluate and articulate quantitative reasoning at a high level.
• Comfortable reviewing structured, technical content with precision and consistency.

Responsibilities

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

Skills

Regression analysis

Causal inference

Applied statistics

Independent work

Education

Master's degree in Economics

PhD in Economics

Tools

R

Stata

Python

Job description

Alignerr Corp. is seeking experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis.

You will shape how AI explains regression, causal inference, and econometric modeling for researchers, students, and professionals worldwide. This remote, hourly-contract role offers 10–40 hours per week and requires strong teaching background, precision, and the ability to work independently on a flexible