Econometrics Instructor

Alignerr Corp.; Spain; Remote; EUR 37,000 - 74,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Autonomy

Global collaboration

Potential contract extensions

Job summary

Alignerr Corp. is seeking experienced econometrics instructors to evaluate and improve AI systems that reason about statistical methods, economic models, and causal inference.

You will help shape how AI explains complex quantitative economics concepts and contribute to cutting-edge AI tools. Ideal candidates have 3+ years teaching econometrics or quantitative economics, strong knowledge of regression, causal inference, and time series, plus experience with R, Stata, or Python.

Qualifications

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

Responsibilities

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, assumptions, and interpretation of results across a range of methods
• Identify errors, edge cases, and logical gaps in AI-generated quantitative reasoning
• Provide structured, actionable feedback to improve model clarity and correctness
• Apply your real-world teaching experience to ensure explanations are both rigorous and accessible
• Work independently and asynchronously on your own schedule

Skills

Econometrics teaching

Quantitative economics

Causal inference

Time series analysis

Statistical methods

Written communication

Education

Master's degree in Economics/Statistics

PhD in Economics/Statistics

Tools

R

Stata

Python

Job description

About The RoleWe're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems that reason about statistical methods, economic models, and causal inference. Your expertise will directly shape how AI understands and explains some of the most complex quantitative concepts in economics — making a real impact on the next generation of AI tools.

• 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 evaluate and improve AI systems that reason about statistical methods, economic models, and causal inference. Your expertise will directly shape how AI understands and explains some of the most complex quantitative concepts in economics — making a real impact on the next generation of AI tools.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based 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 statistical accuracy, assumptions, and interpretation of results across a range of methods
• Identify errors, edge cases, and logical gaps in AI-generated quantitative reasoning
• Provide structured, actionable feedback to improve model clarity and correctness
• Apply your real-world teaching experience to ensure explanations are both rigorous and accessible
• Work independently and asynchronously on your own schedule

Who You Are

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

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, annotation workflows, or data labeling platforms

Why Join Us

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule, from anywhere
• 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