Econometrics Instructor

Alignerr Corp.; Seattle (WA); Remote; USD 14,000 - 55,000; Full time

Benefits offered by this job

Fully remote

Flexible schedule

Global expert network

Job summary

Alignerr is seeking an experienced econometrics instructor to shape AI training data and model explanations. This fully remote, hourly contract role involves reviewing econometric questions, validating methods, and providing actionable feedback to improve AI reasoning.

You'll collaborate asynchronously with top AI labs and contribute to high-impact projects across time zones. Requirements include 3+ years teaching econometrics, strong regression and causal inference skills, and proficiency in

Qualifications

• 3+ years of experience teaching econometrics or quantitative economics.
• Ability to review and provide clear written feedback on technical content.
• Proven ability to work independently in a remote, asynchronous setting.

Responsibilities

• Review and validate econometric questions and explanations used in AI training datasets.
• Assess statistical accuracy and interpretation of quantitative results.
• Identify errors and edge cases in AI-generated economic analysis.
• Provide clear, structured feedback to improve model reasoning and pedagogy.
• Apply teaching experience to ensure AI explanations meet expert standards.
• Work independently on task-based assignments with flexible scheduling.

Skills

Teaching econometrics

Regression analysis

Causal inference

Hypothesis testing

Statistical modeling

Remote collaboration

Education

Master's or PhD in Economics or 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 modeling will directly influence how AI systems reason through complex quantitative problems — making a real and lasting impact on the field.

Econometrics Instructor (AI Training)

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 modeling will directly influence how AI systems reason through complex quantitative problems — making a real and lasting impact on the field.

This is a fully remote, flexible contract role powered by Alignerr (a Labelbox company), working alongside top AI research labs on cutting-edge model development.

• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based 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 the interpretation of quantitative results
• Identify errors, edge cases, and misleading reasoning in AI-generated economic analysis
• Provide clear, structured feedback to improve model reasoning, depth, and pedagogical clarity
• Apply your real-world teaching experience to ensure AI explanations meet the standards of expert instruction
• 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 related statistical disciplines
• Strong command of regression analysis, causal inference, hypothesis testing, and statistical modeling
• Able to evaluate and articulate quantitative reasoning with precision and clarity
• Comfortable reviewing structured technical content and providing actionable written feedback
• Self-motivated and reliable when working independently in a remote environment

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 model evaluation workflows or data annotation platforms
• Background in applied econometrics, policy analysis, or academic research

Why Join Us

• Work on cutting-edge AI projects with leading research labs at the frontier of model development
• Fully remote and flexible — complete tasks on your own schedule, from anywhere
• Freelance perks: full autonomy, variety of tasks, and collaboration with a global expert community
• Contribute to meaningful work that shapes how AI understands and teaches quantitative reasoning
• Potential for ongoing work and contract extension based on performance