Remote Econometrics Instructor for AI Training

Alignerr Corp.; Phoenix (AZ); Remote; USD 55,000 - 96,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Global collaboration

Job summary

Alignerr Corp. invites experienced econometrics instructors and quantitative economists to join our AI training initiative. In this role, you will review econometric questions, validate models, and help shape how AI reasons about statistics, causal inference, and economic modeling.

This is a remote, hourly contract requiring 10–40 hours per week. You will work independently on a flexible schedule and contribute to high‑impact projects with global reach, using tools like R, Stata, or Python to

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics.
• Strong ability to explain complex quantitative reasoning in writing.
• Familiar with AI data workflows and model evaluation.

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess the statistical accuracy, assumptions, and interpretation of quantitative results.
• Identify errors, edge cases, and gaps in AI-generated economic reasoning.
• Provide clear, structured feedback to improve model clarity and rigor.
• Apply teaching experience to evaluate content as a student or practitioner would.
• Work independently and asynchronously on a flexible schedule.

Skills

Econometrics teaching

Regression analysis

Causal inference

Statistical interpretation

Technical writing

Education

Master's or PhD in Economics/Statistics

Tools

R

Stata

Python

Job description

Alignerr Corp. invites experienced econometrics instructors and quantitative economists to join our AI training initiative. In this role, you will review econometric questions, validate models, and help shape how AI reasons about statistics, causal inference, and economic modeling.

This is a remote, hourly contract requiring 10–40 hours per week. You will work independently on a flexible schedule and contribute to high‑impact projects with global reach, using tools like R, Stata, or Python to