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 adaptable — 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

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📌 Econometrics Instructor (Quebec City)
🏢 Alignerr
📍 Quebec City