Econometrics Instructor

Alignerr; Municipio de Rincón de los Sauces; Presencial; ARS 62.531.000 - 125.062.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Flexible schedule

Global collaboration

Descripción de la vacante

Alignerr is seeking experienced econometrics instructors to shape AI understanding of statistical methods, causal inference, and economic modeling. You will review and improve AI training content, ensuring accuracy and clarity for researchers, students, and professionals worldwide.

The role is remote, hourly, and offers 10–40 hours per week, with freelance perks such as autonomy and global collaboration. Strong teaching background in econometrics is required.

Formación

• 3+ years of experience teaching econometrics or quantitative economics at a college or university level.
• Strong command of regression analysis, causal inference, hypothesis testing, and statistical methods.
• Able to clearly evaluate and articulate quantitative reasoning, including common misconceptions.

Responsabilidades

• Review and validate econometric questions, models, and explanations used in AI training datasets.
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results.
• Identify errors, edge cases, and misleading reasoning in AI-generated economic content.
• Provide clear, structured feedback to improve model reasoning and explanation quality.
• Apply your real-world teaching experience to evaluate content for both technical correctness and pedagogical clarity.
• Work independently and asynchronously on your own schedule.

Conocimientos

Regression analysis

Causal inference

Hypothesis testing

Statistics

R

Stata

Python

Educación

Master's or PhD in Economics

Descripción del empleo

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands and reasons about statistical methods, causal inference, and economic modeling. Your subject‑matter expertise will directly influence the quality and accuracy of next‑generation AI systems — making a real impact on how these tools serve researchers, students, and professionals worldwide.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly 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 understands and reasons about statistical methods, causal inference, and economic modeling. Your subject‑matter expertise will directly influence the quality and accuracy of next‑generation AI systems — making a real impact on how these tools serve researchers, students, and professionals worldwide.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly 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, underlying assumptions, and interpretation of quantitative results
• Identify errors, edge cases, and misleading reasoning in AI-generated economic content
• Provide clear, structured feedback to improve model reasoning and explanation quality
• Apply your real‑world teaching experience to evaluate content for both technical correctness and pedagogical clarity
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of experience teaching econometrics or quantitative economics at a college or university level
• Strong command of regression analysis, causal inference, hypothesis testing, and statistical methods
• Able to clearly evaluate and articulate quantitative reasoning, including common misconceptions
• Comfortable reviewing structured, technical content with attention to detail and precision
• Self‑directed and reliable when working independently on task‑based assignments

Nice to Have

• Master's or PhD in Economics, Statistics, or a related quantitative field
• Proficiency with statistical tools such as R, Stata, or Python
• Familiarity with AI model evaluation workflows or data annotation platforms
• Experience writing or reviewing textbook‑level explanations of quantitative methods

Why Join Us

• Work on cutting‑edge AI projects with top research labs and AI companies
• Fully remote and flexible — work on your own schedule, wherever you are
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that improves how AI handles rigorous quantitative reasoning
• Potential for ongoing work and contract extension