Econometrics Instructor

Alignerr Corp.; Dallas (TX); Remote; USD 55,000 - 124,000; Part time

Job summary

Alignerr Corp. is seeking experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis.

You will shape how AI explains regression, causal inference, and econometric modeling for researchers, students, and professionals worldwide. This remote, hourly-contract role offers 10–40 hours per week and requires strong teaching background, precision, and the ability to work independently on a flexible

Qualifications

• 3+ years of experience teaching econometrics, quantitative economics, or related fields.
• Strong command of regression analysis, causal inference, and applied statistical methods.
• Able to clearly evaluate and articulate quantitative reasoning at a high level.
• Comfortable reviewing structured, technical content with precision and consistency.

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess statistical accuracy, underlying assumptions, and interpretation of results.
• Identify errors, logical gaps, and edge cases in AI-generated quantitative reasoning.
• Provide clear, structured feedback to improve model outputs and explanations.
• Apply your real-world teaching experience to evaluate content for accuracy and pedagogical clarity.
• Work independently and asynchronously on your own schedule.

Skills

Regression analysis

Causal inference

Applied statistics

Independent work

Education

Master's degree in Economics

PhD in Economics

Tools

R

Stata

Python

Job description

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands and explains concepts like regression, causal inference, and econometric modeling — making a real impact on the next generation of AI tools used by researchers, students, and professionals worldwide.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

Econometrics Instructor (AI Training)

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands and explains concepts like regression, causal inference, and econometric modeling — making a real impact on the next generation of AI tools used by researchers, students, and professionals worldwide.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, underlying assumptions, and interpretation of results
• Identify errors, logical gaps, and edge cases in AI-generated quantitative reasoning
• Provide clear, structured feedback to improve model outputs and explanations
• Apply your real-world teaching experience to evaluate content for accuracy and pedagogical clarity
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of experience teaching econometrics, quantitative economics, or related fields
• Strong command of regression analysis, causal inference, and applied statistical methods
• Able to clearly evaluate and articulate quantitative reasoning at a high level
• Comfortable reviewing structured, technical content with precision and consistency
• Self-motivated and reliable when working independently

Nice to Have

• Master's or PhD in Economics, Statistics, or a related field
• Proficiency with statistical tools such as R, Stata, or Python
• Familiarity with AI systems, model evaluation, or data annotation workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI reasons about economics and statistics
• Potential for ongoing work and contract extension