Remote Econometrics Instructor for AI Training

Alignerr Corp.; Seattle (WA); Remote; USD 14,000 - 55,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Global expert network

Job summary

Alignerr is seeking an experienced econometrics instructor to shape AI training data and model explanations. This fully remote, hourly contract role involves reviewing econometric questions, validating methods, and providing actionable feedback to improve AI reasoning.

You'll collaborate asynchronously with top AI labs and contribute to high-impact projects across time zones. Requirements include 3+ years teaching econometrics, strong regression and causal inference skills, and proficiency in

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics.
• Ability to review and provide clear written feedback on technical content.
• Proven ability to work independently in a remote, asynchronous setting.

Responsibilities

• Review and validate econometric questions and explanations used in AI training datasets.
• Assess statistical accuracy and interpretation of quantitative results.
• Identify errors and edge cases 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 on task-based assignments with flexible scheduling.

Skills

Teaching econometrics

Regression analysis

Causal inference

Hypothesis testing

Statistical modeling

Remote collaboration

Education

Master's or PhD in Economics or Statistics

Tools

R

Stata

Python

Job description

Alignerr is seeking an experienced econometrics instructor to shape AI training data and model explanations. This fully remote, hourly contract role involves reviewing econometric questions, validating methods, and providing actionable feedback to improve AI reasoning.

You'll collaborate asynchronously with top AI labs and contribute to high-impact projects across time zones. Requirements include 3+ years teaching econometrics, strong regression and causal inference skills, and proficiency in