Econometrics Instructor

Alignerr Corp.; United States; À distance; MXN 1 029 000 - 1 801 000; Temps partiel

Résumé du poste

Alignerr Corp. (Powered by Labelbox) seeks experienced econometrics instructors to shape how AI understands statistical reasoning. You will review AI-generated econometric content and provide feedback on regression, causal inference, and economic analysis.

Remote, hourly commitment of 10–40 hours per week. Ideal candidates have 3+ years teaching econometrics, strong command of statistical methods, and the ability to work independently.

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics at college or professional level.
• Strong command of regression, causal inference and statistical methods.
• Able to clearly evaluate and articulate quantitative reasoning and model outputs.
• Comfortable reviewing structured, technical content with precision and rigor.
• Self-motivated and reliable when working independently.

Responsabilités

• Review and validate AI-generated econometric questions, models, and explanations used in AI training.
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results.
• Identify errors, edge cases, and gaps in AI reasoning with teaching experience.
• Provide clear, structured feedback to improve AI model reasoning.
• Work independently and asynchronously — on your schedule, at your pace.

Connaissances

Econometrics teaching

Regression analysis

Causal inference

Statistical reasoning

Independent work

Formation

Master's or PhD in Economics/Statistics

Outils

R

Stata

Python

Description du poste

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how the next generation of AI understands statistical reasoning. Your expertise will directly influence how AI models explain regression, causal inference, and economic analysis — making a real impact on the quality of AI in one of the most technically demanding fields.

• 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 the next generation of AI understands statistical reasoning. Your expertise will directly influence how AI models explain regression, causal inference, and economic analysis — making a real impact on the quality of AI in one of the most technically demanding fields.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Review and validate AI-generated econometric questions, models, and explanations used in AI training
• Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results
• Identify errors, edge cases, and gaps in AI reasoning using your real-world teaching experience
• Provide clear, structured feedback to improve how AI models reason through complex economic problems
• Work independently and asynchronously — on your schedule, at your pace

Who You Are

• 3+ years of experience teaching econometrics or quantitative economics at a college or professional level
• Strong command of regression analysis, causal inference, and statistical methods
• Able to clearly evaluate and articulate quantitative reasoning and model outputs
• Comfortable reviewing structured, technical content with precision and rigor
• 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 or data labeling workflows

Why Join Us

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that raises the bar for AI in quantitative fields
• Potential for ongoing work and contract extension