Econometrics Instructor

Alignerr Corp.; Toronto; Remote; CAD 78,000 - 156,000; Part time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr's econometrics AI training team seeks experienced instructors to review and improve AI-generated econometric content. You will validate regression analyses, assess causal inferences, and ensure accurate, well-structured explanations of statistical results to help AI reason about economics.

This fully remote role offers 10–40 hours/week and flexible scheduling. 3+ years teaching econometrics and experience with R, Stata, or Python are desirable; Masters/PhD preferred.

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics at the university or professional level
• Proficiency in regression analysis, causal inference, and applied statistical methods
• Ability to clearly evaluate and articulate quantitative reasoning in written form

Responsibilities

• Review and validate AI-generated econometric questions, models, and explanations for correctness and clarity
• Assess statistical assumptions, methodology, and interpretation of results
• Identify errors, logical gaps, and edge cases in quantitative reasoning
• Provide structured, expert feedback to improve AI model outputs
• Apply real-world teaching and research experience to evaluate how well AI communicates complex concepts
• Work independently and asynchronously on your own schedule

Skills

Regression analysis

Causal inference

Applied statistics

Education

Master's or PhD in Economics/Statistics

Tools

R

Stata

Python

Job description

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your deep knowledge of statistical methods, causal inference, and economic reasoning will directly influence how AI systems understand and explain econometrics — making a real impact on one of the most technically demanding fields in AI training.

Econometrics Instructor (AI Training)

We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your deep knowledge of statistical methods, causal inference, and economic reasoning will directly influence how AI systems understand and explain econometrics — making a real impact on one of the most technically demanding fields in AI training.

This is a fully remote, flexible contract role where your expertise drives the work.

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

What You'll Do

• Review and validate AI-generated econometric questions, models, and explanations for correctness and clarity
• Assess statistical assumptions, methodology, and interpretation of results
• Identify errors, logical gaps, and edge cases in quantitative reasoning
• Provide structured, expert feedback to improve AI model outputs
• Apply real-world teaching and research experience to evaluate how well AI communicates complex concepts
• Work independently and asynchronously on your own schedule

Who You Are

• 3+ years of experience teaching econometrics or quantitative economics at the university or professional level
• Strong command of regression analysis, causal inference, and applied statistical methods
• Able to clearly evaluate and articulate 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 quantitative field
• Hands-on experience with statistical tools such as R, Stata, or Python
• Familiarity with AI evaluation workflows or model assessment

Why Join Us

• Work on cutting-edge AI projects alongside top research labs
• Fully remote and flexible — work when and where it suits you
• 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