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. 
