Remote Econometrics Instructor for AI Training

Alignerr; Atlanta (GA); On-site; USD 55,000 - 110,000; Full time

Benefits offered by this job

Autonomy

Variety

Collaboration

Job summary

Alignerr (Powered by Labelbox) seeks experienced econometrics instructors to help train the next generation of AI. Your academic and teaching expertise will shape AI's understanding of statistical models, causal inference, and economic reasoning in a fast-moving tech field.

This remote hourly contract offers 10–40 hours per week, with flexible scheduling and the chance to review and improve AI-trained econometrics content while working independently.

Qualifications

• 3+ years of teaching econometrics or quantitative economics.
• Strong command of regression analysis and causal inference.
• Ability to articulate and evaluate quantitative reasoning clearly.
• Experience reviewing technical content with precision and consistency.
• Self-motivated and reliable for independent work.

Responsibilities

• Review and validate econometric questions, models, and explanations in AI training datasets.
• Assess statistical accuracy, model assumptions, and interpretation quality.
• Identify errors, misconceptions, and edge cases in AI-generated reasoning.
• Provide structured feedback to improve model outputs for accuracy and clarity.
• Apply teaching experience to gauge audience understanding and land effectiveness.
• Work independently and asynchronously on a flexible schedule.

Skills

Regression analysis

Causal inference

Statistical methods

Articulate reasoning

Content review

Education

Master's or PhD in Economics or Stats

Tools

R

Stata

Python

Job description

Alignerr (Powered by Labelbox) seeks experienced econometrics instructors to help train the next generation of AI. Your academic and teaching expertise will shape AI's understanding of statistical models, causal inference, and economic reasoning in a fast-moving tech field.

This remote hourly contract offers 10–40 hours per week, with flexible scheduling and the chance to review and improve AI-trained econometrics content while working independently.