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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