Remote Econometrics Instructor for AI Systems

Alignerr Corp.; Seattle (WA); Remote; USD 55,000 - 124,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Autonomy & collaboration

Job summary

Alignerr Corp. is seeking an Econometrics Instructor (AI Training) to review econometric content in AI training datasets. You will validate models, assess statistical accuracy, and provide structured, actionable feedback to improve AI reasoning.

The role is fully remote, hourly, and contract-based, with 10–40 hours per week. Ideal candidates have 3+ years teaching econometrics and hands-on experience with R, Stata, or Python.

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics
• Strong command of regression analysis, causal inference, hypothesis testing
• Ability to evaluate quantitative reasoning with precision and clarity
• Comfortable reviewing technical content and providing actionable feedback
• Self-motivated and reliable in a remote setting

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, assumptions, and interpretation of results
• Identify errors and misleading reasoning in AI-generated economic analysis
• Provide clear, structured feedback to improve model reasoning and pedagogy
• Apply teaching experience to ensure AI explanations meet expert standards
• Work independently and asynchronously on task-based assignments

Skills

Econometrics teaching

Regression analysis

Causal inference

Statistical modeling

Written feedback

Education

Master’s or PhD in Economics, Statistics, or related

Tools

R

Stata

Python

Job description

Alignerr Corp. is seeking an Econometrics Instructor (AI Training) to review econometric content in AI training datasets. You will validate models, assess statistical accuracy, and provide structured, actionable feedback to improve AI reasoning.

The role is fully remote, hourly, and contract-based, with 10–40 hours per week. Ideal candidates have 3+ years teaching econometrics and hands-on experience with R, Stata, or Python.