Remote Econometrics Instructor for AI Training

Alignerr Corp.; Chicago (IL); Remote; USD 55,000 - 83,000; Part time

Job summary

Alignerr is seeking experienced econometrics instructors to help shape AI training through rigorous econometric evaluation and critique of AI-generated economic reasoning. You will review models, validate assumptions, and provide clear feedback to improve outputs for diverse audiences.

The role is fully remote, flexible, and tasks are completed on your own schedule. Ideal candidates have 3+ years teaching econometrics or quantitative economics, strong regression and causal inference skills, and

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics at a college or university level.
• Strong command of regression analysis, causal inference, and applied statistical methods.
• Able to clearly evaluate and explain quantitative reasoning in written form.
• Comfortable reviewing structured, technical content with precision and consistency.
• Self-motivated and reliable in an asynchronous remote environment.

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess the statistical accuracy, underlying assumptions, and interpretation of quantitative results.
• Identify errors, logical gaps, and edge cases in AI-generated economic reasoning.
• Provide clear, structured feedback to improve model outputs for clarity and correctness.
• Apply your real-world teaching experience to evaluate how well concepts are communicated to diverse audiences.
• Work independently and asynchronously to complete task-based assignments on your own schedule.

Skills

Econometrics

Regression Analysis

Causal Inference

Written Communication

Asynchronous Work

Education

Masters or PhD

Tools

R

Stata

Python

Job description

Alignerr is seeking experienced econometrics instructors to help shape AI training through rigorous econometric evaluation and critique of AI-generated economic reasoning. You will review models, validate assumptions, and provide clear feedback to improve outputs for diverse audiences.

The role is fully remote, flexible, and tasks are completed on your own schedule. Ideal candidates have 3+ years teaching econometrics or quantitative economics, strong regression and causal inference skills, and