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Econometrics Instructor

Job in Tempe, Maricopa County, Arizona, 85280, USA
Listing for: Alignerr
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below

About The Role

We're looking for experienced econometrics instructors and quantitative economists to help shape how AI understands statistical reasoning, causal inference, and economic modeling. Your expertise will directly influence the quality and accuracy of next‑generation AI systems — work that matters at a global scale.

  • Organization:
    Alignerr (Powered by Labelbox)
  • Type:
    Hourly 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 the statistical accuracy, underlying assumptions, and interpretation of quantitative results.
  • Identify errors, edge cases, and gaps in AI-generated economic reasoning.
  • Provide clear, structured feedback to improve model clarity and analytical rigor.
  • Apply real‑world teaching experience to evaluate content the way a student or practitioner would encounter it.
  • Work independently and asynchronously on a schedule that works for you.
Who You Are
  • 3+ years of experience teaching econometrics, quantitative economics, or closely related fields.
  • Strong command of regression analysis, causal inference, hypothesis testing, and statistical interpretation.
  • Able to clearly evaluate and explain complex quantitative reasoning in writing.
  • Comfortable reviewing structured technical content with precision and consistency.
  • Self‑motivated and reliable when working independently on task‑based assignments.
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 systems, model evaluation, or data annotation workflows.
Why Join Us
  • Work on cutting‑edge AI projects alongside top research labs.
  • Fully remote and flexible — design your own schedule.
  • 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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