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.
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 general collaboration
Contribute to meaningful w
📌 Econometrics Instructor (España)
🏢 Alignerr
📍 España
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