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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