Econometrics Instructor

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

Econometrics Instructor (AI Training)

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands statistical reasoning, causal inference, and economic modeling. Your expertise will directly influence the quality and accuracy of next‑generation AI systems — work that matters at a global scale.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands statistical reasoning, causal inference, and economic modeling. Your expertise will directly influence the quality and accuracy of next‑generation AI systems — work that matters at a global scale.

• 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 the statistical accuracy, underlying 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 analytical rigor
• Apply your real-world teaching experience to evaluate content the way a student or practitioner would encounter it
• Work independently and asynchronously on a schedule that works for you

Who You Are

• 3+ years of experience teaching econometrics, quantitative economics, or closely related fields
• Strong command of regression analysis, causal inference, hypothesis testing, and statistical interpretation
• Able to clearly evaluate and explain complex quantitative reasoning in writing
• Comfortable reviewing structured technical content with precision and consistency
• Self‑motivated and reliable when working independently on task‑based assignments

Nice to Have

• Master's or PhD in Economics, Statistics, or a related quantitative field
• Hands‑on experience with statistical tools such as R, Stata, or Python
• Familiarity with AI systems, model evaluation, or data annotation workflows

Why Join Us

• Work on cutting‑edge AI projects alongside top research labs
• Fully remote and flexible — design your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI reasons about economics and statistics
• Potential for ongoing work and contract extension