Remote Econometrics Instructor for AI Training

Alignerr Corp.; France; À distance; EUR 55 000 - 96 000; Temps partiel

Résumé du poste

Alignerr Corp. is seeking experienced econometrics instructors and quantitative economists to shape the next generation of AI. You will review and validate econometric content used in AI training data, ensuring statistical accuracy and clear explanations.

The role is a fully remote, hourly/task-based contract, offering 10–40 hours per week. You will work independently on your own schedule and bring real-world teaching and research experience to improve AI outputs.

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics at college/university level.
• Strong command of regression analysis, causal inference, and applied statistical methods.
• Ability to clearly evaluate and explain complex quantitative reasoning.
• Comfortable reviewing structured, technical content with precision and consistency.
• Self-motivated and reliable — you can manage your own time and meet deadlines.

Responsabilités

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess statistical accuracy, underlying assumptions, and the quality of results interpretation.
• Identify errors, logical gaps, and edge cases that could mislead AI reasoning.
• Provide clear, structured feedback to improve model outputs and explanatory clarity.
• Apply your real-world teaching and research experience to elevate the quality of AI-generated quantitative content.
• Work independently and asynchronously — on your own schedule.

Connaissances

Regression analysis

Causal inference

Applied statistical methods

Quantitative reasoning

Time management

Formation

Master's or PhD in Economics/Statistics

Outils

R

Stata

Python

Description du poste

Alignerr Corp. is seeking experienced econometrics instructors and quantitative economists to shape the next generation of AI. You will review and validate econometric content used in AI training data, ensuring statistical accuracy and clear explanations.

The role is a fully remote, hourly/task-based contract, offering 10–40 hours per week. You will work independently on your own schedule and bring real-world teaching and research experience to improve AI outputs.