Remote Econometrics Instructor for AI Training

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

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.