Econometrics Instructor

Alignerr Corp.; United States; Remote; AUD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking an Econometrics Instructor to help shape AI understanding of statistical and economic concepts. This remote, hourly-contract role leverages your 3+ years of teaching econometrics to validate datasets and improve model reasoning.

You will review econometric content, assess accuracy and assumptions, and provide structured feedback. Ideal candidates have strong writing skills and experience with R, Stata, or Python.

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics at university or professional level.
• Strong command of regression analysis, causal inference, and statistical inference methods.
• Able to articulate and evaluate quantitative reasoning in writing.
• Comfortable reviewing structured, technical content with precision and consistency.

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess statistical accuracy, underlying assumptions, and interpretation of results.
• Identify errors, logical gaps, and edge cases in AI-generated economic reasoning.
• Provide clear, structured feedback to improve model clarity and correctness.
• Apply real-world teaching experience to evaluate content as a rigorous instructor would.
• Work independently and asynchronously on your own schedule.

Skills

Econometrics

Teaching

Regression analysis

Causal inference

Statistical inference

Academic writing

Self-motivation

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 and reasons through statistical and economic concepts. Your expertise will directly influence the quality of AI systems trained on econometric content — making a real impact on how the next generation of AI handles regression, causal inference, and quantitative analysis.

• 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, logical gaps, and edge cases in AI-generated economic reasoning
• Provide clear, structured feedback to improve model clarity and correctness
• Apply your real-world teaching experience to evaluate content the way a rigorous instructor would
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of experience teaching econometrics or quantitative economics at a university or professional level
• Strong command of regression analysis, causal inference, and statistical inference methods
• Able to clearly articulate and evaluate quantitative reasoning in writing
• Comfortable reviewing structured, technical content with precision and consistency
• Self-motivated and reliable when working independently on remote, task-based projects

Nice to Have

• Master's or PhD in Economics, Statistics, or a related quantitative field
• Proficiency with statistical tools such as R, Stata, or Python
• Prior experience with AI evaluation, annotation, or model training workflows

Why Join Us

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