Econometrics Instructor

Alignerr Corp.; Atlanta (GA); Remote; USD 55,000 - 90,000; Part time

Benefits offered by this job

Autonomy

Variety in projects

Collaboration with experts worldwide

Job summary

Alignerr Corp. is seeking experienced econometrics instructors to help train the next generation of AI. You will guide explanations of statistical models, causal inference, and economic reasoning in a remote, hourly-contract role.

You should have 3+ years of teaching econometrics or quantitative economics, with strong regression and inference skills. The role offers flexible hours (10–40 per week) and collaboration with global experts.

Qualifications

• 3+ years of experience teaching econometrics, quantitative economics, or related field.
• Able to clearly articulate and critically evaluate quantitative reasoning.
• Comfortable reviewing structured technical content with precision and consistency.

Responsibilities

• Review and validate econometric questions and explanations used in AI training datasets.
• Assess statistical accuracy, model assumptions, and interpretation quality.
• Identify errors and edge cases in AI-generated quantitative reasoning.
• Provide clear, structured feedback to improve model outputs.
• Apply teaching experience to gauge how explanations land with students or practitioners.
• Work independently and asynchronously on a flexible schedule.

Skills

Econometrics teaching

Regression analysis

Causal inference

Strong communication

Education

Master's or PhD in Economics

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)

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

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