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Econometrics Instructor; AI Training

Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listing for: Alignerr
Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Scientist, AI Engineer
Salary/Wage Range or Industry Benchmark: 35 - 70 CAD Hourly CAD 35.00 70.00 HOUR
Job Description & How to Apply Below
Position: Econometrics Instructor (AI Training)

About The Role

We’re looking for experienced econometrics instructors to help evaluate and improve AI systems trained on quantitative economic reasoning and statistical analysis.

  • Organization:
    Alignerr (Powered by Labelbox)
  • Location:

    Remote
  • Type:
    Hourly / Task-based Contract
  • Compensation: $35-70 /hour
  • Commitment: 10-40 hours/week
What You’ll Do
  • Review and validate econometric questions, models, and explanations used in AI training.
  • Assess statistical accuracy, assumptions, and interpretation of results.
  • Provide structured feedback to improve model reasoning and clarity.
  • Apply real-world teaching experience to identify errors and edge cases.
  • Work independently and asynchronously to meet project deadlines.
Who You Are
  • 3+ years of experience teaching econometrics or quantitative economics.
  • Strong understanding of regression, causal inference, and statistical methods.
  • Able to clearly explain and evaluate quantitative reasoning.
  • Comfortable reviewing structured, technical content.
Nice to Have
  • Master’s or PhD in Economics or related field.
  • Experience with statistical tools (R, Stata, Python).
  • Familiarity with AI or model evaluation workflows.
Why Join Us
  • Competitive pay and flexible remote work.
  • Lead a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they’re trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.
Application Process (Takes 10-15 min)
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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