Remote Econometrics Instructor for AI Training

Alignerr Corp.; Johannesburg; Remote; ZAR 1,371,000 - 2,513,000; Part time

Benefits offered by this job

Autonomy

Flexible hours

Global network

Job summary

Alignerr Corp. is seeking experienced econometrics instructors and quantitative economists to help evaluate and improve cutting-edge AI systems. The role focuses on statistical modeling and economic reasoning to shape AI understanding and explanations.

This is a fully remote, flexible contract role offering 10–40 hours per week on an hourly/task-based basis. You will review datasets, assess accuracy, and provide actionable feedback to enhance AI outputs.

Qualifications

• Proven ability to teach econometrics or quantitative economics at an advanced level.
• Strong grasp of regression models, causal inference, and time-series methods.
• Experience communicating complex concepts clearly and accurately.

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
• Identify errors, logical gaps, and edge cases in AI-generated economic reasoning
• Provide clear, structured feedback to improve model outputs and explanations
• Apply teaching experience to ensure content is technically correct and pedagogically sound
• Work independently and asynchronously on task-based assignments

Skills

Econometrics

Regression analysis

Time series

Causal inference

Statistical methodology

Education

Master's/PhD in Economics or Statistics

Tools

R

Stata

Python

Job description

Alignerr Corp. is seeking experienced econometrics instructors and quantitative economists to help evaluate and improve cutting-edge AI systems. The role focuses on statistical modeling and economic reasoning to shape AI understanding and explanations.

This is a fully remote, flexible contract role offering 10–40 hours per week on an hourly/task-based basis. You will review datasets, assess accuracy, and provide actionable feedback to enhance AI outputs.