Econometrics Instructor

Alignerr; Atlanta (GA); Remote; USD 55,000 - 96,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Contract-based

Job summary

Alignerr seeks experienced econometrics instructors to help train AI systems in statistical models, causal inference, and economic reasoning. You will review and improve AI training content and provide precise feedback to enhance accuracy and clarity.

Ideal candidates have 3+ years of teaching econometrics, strong quantitative skills, and proficiency with R, Stata, or Python. This is a remote hourly contract with 10–40 hours per week and flexible scheduling.

Qualifications

• 3+ years of teaching econometrics or quantitative economics.
• Strong regression and causal inference skills.
• Able to evaluate AI-generated quantitative reasoning.

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess statistical accuracy, model assumptions, and the quality of result interpretations.
• Identify errors, misconceptions, and edge cases in AI-generated quantitative reasoning.
• Provide clear, structured feedback to improve model outputs for accuracy and clarity.
• Apply your real-world teaching experience to evaluate how well explanations would land with students or practitioners.
• Work independently and asynchronously on a schedule that suits you.

Skills

Regression analysis

Causal inference

Quantitative reasoning

Teaching/Education

Education

Master's or PhD in Economics/Statistics

Tools

R

Stata

Python

Job description

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help train the next generation of AI. Your academic and teaching expertise will directly shape how AI understands and explains statistical models, causal inference, and economic reasoning — making a measurable impact on one of the most rapidly advancing fields in technology.

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

Econometrics Instructor (AI Training)

What You'll Do

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, model assumptions, and the quality of result interpretations
• Identify errors, misconceptions, and edge cases in AI-generated quantitative reasoning
• Provide clear, structured feedback to improve model outputs for accuracy and clarity
• Apply your real-world teaching experience to evaluate how well explanations would land with students or practitioners
• Work independently and asynchronously on a schedule that suits you

Who You Are

• 3+ years of experience teaching econometrics, quantitative economics, or a closely related field
• Strong command of regression analysis, causal inference, and core statistical methods
• Able to clearly articulate and critically evaluate quantitative reasoning
• 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 quantitative field
• Hands-on experience with R, Stata, Python, or similar statistical tools
• Prior exposure to AI evaluation, annotation, or model testing workflows

Why Join Us

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