Remote Econometrics Instructor for AI Training

Alignerr Corp.; Cape Town; Remote; ZAR 276,000 - 551,000; Part time

Benefits offered by this job

Fully remote

Freelance perks: autonomy, variety, &

Global collaboration

Job summary

Alignerr Corp., powered by Labelbox, is recruiting experienced econometrics instructors and quantitative economists to shape how AI understands econometric reasoning. Your expertise will influence AI models trained on causal inference, regression, and quantitative analysis.

This remote, hourly contract offers 10–40 hours per week, with flexible scheduling. You will review questions and explanations used in AI training datasets, assess accuracy, and provide feedback to improve model reasoning.

Qualifications

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

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, edge cases, and misleading reasoning in AI-generated econometric content.
• Provide clear, structured feedback to improve model reasoning and explanation quality.
• Apply your real-world teaching and research experience to raise the bar for AI output.
• Work independently and asynchronously on a schedule that fits your life.

Skills

Econometrics

Quantitative economics

Regression analysis

Causal inference

Statistical methods

R

Stata

Python

Education

Master's or PhD in Economics or Statistics

Tools

R

Stata

Python

Job description

Alignerr Corp., powered by Labelbox, is recruiting experienced econometrics instructors and quantitative economists to shape how AI understands econometric reasoning. Your expertise will influence AI models trained on causal inference, regression, and quantitative analysis.

This remote, hourly contract offers 10–40 hours per week, with flexible scheduling. You will review questions and explanations used in AI training datasets, assess accuracy, and provide feedback to improve model reasoning.