Econometrics Instructor

Alignerr; Johannesburg; Remote; ZAR 569,000 - 1,365,000; Part time

Benefits offered by this job

Autonomy

Variety

Global network collaboration

Job summary

Alignerr Corp., a remote-first company, seeks experienced econometrics instructors and quantitative economists to help evaluate and improve AI training datasets. You will review econometric content and provide feedback to enhance model explanations.

This fully remote, flexible contract role offers 10–40 hours per week and the opportunity to influence cutting-edge AI research while working with a global team of experts.

Qualifications

• 3+ years of teaching econometrics or quantitative economics.
• Strong command of regression, causal inference, time series.
• Ability to critique and explain quantitative reasoning clearly.
• Experience with remote, asynchronous work.

Responsibilities

• Review econometric questions, models, and explanations in AI training data.
• Assess statistical accuracy and assumptions.
• Identify errors and gaps in AI-generated reasoning.
• Provide structured feedback to improve model outputs.
• Apply teaching experience to ensure content is technically correct and pedagogically sound.
• Work independently on task-based assignments.

Skills

Econometrics teaching

Regression analysis

Time series

Causal inference

Remote work

Education

Master's or PhD in Economics

Statistics or econometrics coursework

Tools

R

Stata

Python

Job description

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve cutting-edge AI systems. Your deep knowledge of statistical modeling and economic reasoning will directly shape how AI understands and explains some of the most technically demanding content in the field.

Econometrics Instructor (AI Training)

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve cutting-edge AI systems. Your deep knowledge of statistical modeling and economic reasoning will directly shape how AI understands and explains some of the most technically demanding content in the field. This is a fully remote, flexible contract role — work on your own schedule while contributing to AI research that matters.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-Based Contract
• Location: Remote (Worldwide)
• 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, logical gaps, and edge cases in AI-generated economic reasoning
• Provide clear, structured feedback to improve model outputs and explanations
• Apply your real-world teaching experience to evaluate whether content is both technically correct and pedagogically sound
• Work independently and asynchronously to complete task-based assignments on your own schedule

Who You Are

• 3+ years of experience teaching econometrics, quantitative economics, or a closely related field
• Strong command of regression analysis, causal inference, time series, and statistical methodology
• Able to clearly evaluate and articulate quantitative reasoning — both what's correct and what's not
• Comfortable working with structured, technical content in a remote environment
• Self-motivated and reliable with strong attention to detail

Nice to Have

• Master's or PhD in Economics, Statistics, or a related quantitative discipline
• Hands‑on experience with statistical software such as R, Stata, or Python
• Prior exposure to AI model evaluation, annotation, or data labeling workflows

Why Join Us

• Work on cutting‑edge AI projects with top research labs shaping the next generation of large language models
• Fully remote and flexible — design your own schedule around your existing commitments
• Freelance perks: autonomy, variety, and collaboration with a global network of subject‑matter experts
• Contribute to meaningful work that directly improves how AI reasons about economics and statistics
• Potential for ongoing work and contract extension as new projects launch