Econometrics Instructor

Alignerr Corp.; Atlanta (GA); Remote; USD 55,000 - 96,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Job summary

Alignerr (Powered by Labelbox) is seeking an Econometrics Instructor to help train AI systems in statistical reasoning and economic modeling.

You'll review econometric content, validate regression analyses, and provide clear feedback for improving AI explanations. This is a remote, hourly contract with flexible scheduling for experienced instructors.

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics.
• Strong command of regression analysis, causal inference, and core statistical methods.
• Capable of articulating and evaluating quantitative reasoning clearly.
• Comfortable reviewing structured technical content with precision.

Responsibilities

• Review econometric questions and models used in AI training datasets.
• Assess statistical accuracy and model assumptions.
• Identify errors and edge cases in AI-generated quantitative reasoning.
• Provide clear feedback to improve model outputs for accuracy.
• Apply teaching experience to evaluate explanations for learners.

Skills

Econometrics teaching

Regression analysis

Causal inference

Quantitative reasoning

Education

Master's or PhD in Economics or Statistics

Tools

R

Stata

Python

Job description

• 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 train the next generation of AI. Your academic and teaching expertise will directly shape how AI understands and explains statistical models, causal inference, and economic reasoning — making a measurable impact on one of the most rapidly advancing fields in technology.

What You'll Do

• Review and validate econometric questions, models, and explanations used in AI training datasets
• Assess statistical accuracy, model assumptions, and the quality of result interpretations
• Identify errors, misconceptions, and edge cases in AI-generated quantitative reasoning
• Provide clear, structured feedback to improve model outputs for accuracy and clarity
• Apply your real-world teaching experience to evaluate how well explanations would land with students or practitioners
• Work independently and asynchronously on a schedule that suits you

Who You Are

• 3+ years of experience teaching econometrics, quantitative economics, or a closely related field
• Strong command of regression analysis, causal inference, and core statistical methods
• Able to clearly articulate and critically evaluate quantitative reasoning
• 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 R, Stata, Python, or similar statistical tools
• Prior exposure to AI evaluation, annotation, or model testing workflows

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 collaboration with experts around the world
• Contribute to meaningful work that improves how AI reasons about economics and statistics
• Potential for ongoing work and contract extension