About The RoleWe'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: RemoteType: Hourly / Task-based ContractCompensation: $35-70 /hourCommitment: 10-40 hours/weekWhat You'll DoReview 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 Are3+ 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 HaveMaster's or PhD in Economics or related field.Experience with statistical tools (R, Stata, Python).Familiarity with AI or model evaluation workflows.Why Join UsCompetitive 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 resumeComplete a short screeningProject matching and onboardingPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.