Remote Econometrics Instructor for AI Training

Alignerr Corp.; Cape Town; Remote; ZAR 914,000 - 1,714,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Global collaboration

Job summary

Alignerr is seeking experienced econometrics instructors to help shape how AI understands and explains statistical reasoning. Your expertise will influence AI models trained on econometric content, impacting how AI tackles causal inference, regression, and quantitative analysis.

We invite candidates with 3+ years of university-level econometrics teaching and hands-on experience with R, Stata, or Python. This remote, hourly/task-based role offers 10-40 hours/week and flexible scheduling to

Qualifications

• 3+ years of teaching econometrics or quantitative economics at college/university level
• Strong command of regression analysis, causal inference, and statistical methods
• Able to articulate and evaluate quantitative reasoning clearly

Responsibilities

• Review econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, assumptions, and interpretation of results
• Identify errors and edge cases in AI-generated econometric content
• Provide clear, structured feedback to improve model reasoning and explanations
• Apply teaching and research experience to raise AI output standards
• Work independently and asynchronously on your schedule

Skills

Econometrics

Regression analysis

Causal inference

Statistics

Education

Master's or PhD in Economics, Statistics, or related field

Tools

R

Stata

Python

Job description

Alignerr is seeking experienced econometrics instructors to help shape how AI understands and explains statistical reasoning. Your expertise will influence AI models trained on econometric content, impacting how AI tackles causal inference, regression, and quantitative analysis.

We invite candidates with 3+ years of university-level econometrics teaching and hands-on experience with R, Stata, or Python. This remote, hourly/task-based role offers 10-40 hours/week and flexible scheduling to