Econometrics Instructor

Alignerr Corp.; City of Melbourne; Remote; AUD 55,000 - 110,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Freelance perks: autonomy, variety, &跨

Job summary

Alignerr, a remote-friendly AI training platform, seeks experienced econometrics instructors to shape AI understanding of regression, causal inference, and related econometric concepts.

You'll review AI-generated questions and explanations, provide expert feedback, and work asynchronously 10–40 hours per week, on a flexible schedule. Ideal candidates have 3+ years teaching econometrics and knowledge of 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, time series, and statistical methods.
• Able to clearly evaluate and articulate quantitative reasoning in written form.
• Comfortable reviewing structured technical content with precision and consistency.
• Self-motivated and reliable when working independently on deadline-driven tasks.

Responsibilities

• Review and validate AI-generated econometric questions, models, and explanations for accuracy and clarity.
• Assess statistical assumptions, methodology, and interpretation of results.
• Identify errors, edge cases, and misleading reasoning in quantitative AI outputs.
• Provide structured, expert feedback to improve AI model reasoning and response quality.
• Apply your real-world teaching experience to evaluate whether explanations are pedagogically sound.
• Work independently and asynchronously on your own schedule.

Skills

Regression analysis

Causal inference

Time series

Statistical methods

Written communication

Education

Master's or PhD in Economics, Statistics, or related field

Tools

R

Stata

Python

Job description

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how AI systems understand and reason about statistical and economic concepts. Your expertise will directly improve the quality of AI-generated econometric content — from regression analysis to causal inference — making a real impact on the next generation of AI tools used by researchers, analysts, and students worldwide.

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

Econometrics Instructor (AI Training)

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how AI systems understand and reason about statistical and economic concepts. Your expertise will directly improve the quality of AI-generated econometric content — from regression analysis to causal inference — making a real impact on the next generation of AI tools used by researchers, analysts, and students worldwide.

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

What You'll Do

• Review and validate AI-generated econometric questions, models, and explanations for accuracy and clarity
• Assess statistical assumptions, methodology, and interpretation of results
• Identify errors, edge cases, and misleading reasoning in quantitative AI outputs
• Provide structured, expert feedback to improve AI model reasoning and response quality
• Apply your real-world teaching experience to evaluate whether explanations are pedagogically sound
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of experience teaching econometrics or quantitative economics at the university or professional level
• Strong command of regression analysis, causal inference, time series, and statistical methods
• Able to clearly evaluate and articulate quantitative reasoning in written form
• Comfortable reviewing structured technical content with precision and consistency
• Self-motivated and reliable when working independently on deadline-driven tasks

Nice to Have

• Master's or PhD in Economics, Statistics, or a related field
• Hands-on experience with statistical tools such as R, Stata, or Python
• Familiarity with AI model evaluation, data annotation, or related 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 handles complex quantitative reasoning
• Potential for ongoing work and contract extension