Remote Econometrics Instructor for AI Training

Alignerr Corp.; City of Edinburgh; Remote; GBP 55,000 - 96,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr (Powered by Labelbox) seeks experienced econometrics instructors and quantitative economists to evaluate and improve AI systems trained on economic reasoning and statistical analysis. This remote, hourly-contract role offers 10–40 hours per week and the chance to shape how AI explains econometric concepts for researchers and students worldwide.

You'll review AI-generated econometric questions, assess methodology, identify errors, and provide expert feedback to improve model outputs.

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics.
• Strong command of regression analysis, causal inference, and statistical methods.
• Able to clearly evaluate and articulate quantitative reasoning at an expert level.
• Comfortable reviewing structured, technical content with precision and consistency.
• Self-motivated and reliable in an independent remote work environment.

Responsibilities

• Review and validate AI-generated econometric questions, models, and explanations for accuracy and clarity.
• Assess statistical assumptions, methodology, and interpretation of results.
• Identify errors, edge cases, and gaps in quantitative reasoning.
• Provide structured, expert feedback to improve AI model outputs.
• Apply your real-world teaching experience to ensure content is pedagogically sound.

Skills

Econometrics teaching

Regression analysis

Causal inference

Statistical methods

Remote work

Education

Advanced degree in Economics/Statistics

Tools

R

Stata

Python

Job description

Alignerr (Powered by Labelbox) seeks experienced econometrics instructors and quantitative economists to evaluate and improve AI systems trained on economic reasoning and statistical analysis. This remote, hourly-contract role offers 10–40 hours per week and the chance to shape how AI explains econometric concepts for researchers and students worldwide.

You'll review AI-generated econometric questions, assess methodology, identify errors, and provide expert feedback to improve model outputs.