Project Overview We are sourcing independent Search Engine Evaluation Specialists to provide their expertise for an AI benchmark evaluation project.
Econometrics Instructor
Remote (Global)
$35 – $70/hr
May 28, 2026
Job description
Econometrics Instructor (AI Training)
About the Role
We're looking for experienced econometrics instructors and quantitative economists to help shape the next generation of AI. Your deep knowledge of statistical methods, causal inference, and economic modeling will directly influence how AI systems reason through complex quantitative problems — making a real and lasting impact on the field.
This is a fully remote, flexible contract role powered by Alignerr (a Labelbox company), working alongside top AI research labs on cutting-edge model development.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-based Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and validate econometric questions, models, and explanations used in AI training datasets
- Assess statistical accuracy, underlying assumptions, and the interpretation of quantitative results
- Identify errors, edge cases, and misleading reasoning in AI-generated economic analysis
- Provide clear, structured feedback to improve model reasoning, depth, and pedagogical clarity
- Apply your real-world teaching experience to ensure AI explanations meet the standards of expert instruction
- Work independently and asynchronously to complete task-based assignments on your own schedule
Who You Are
- 3+ years of experience teaching econometrics, quantitative economics, or related statistical disciplines
- Strong command of regression analysis, causal inference, hypothesis testing, and statistical modeling
- Able to evaluate and articulate quantitative reasoning with precision and clarity
- Comfortable reviewing structured technical content and providing actionable written feedback
- Self-motivated and reliable when working independently in a remote environment
Nice to Have
- Master's or PhD in Economics, Statistics, or a related quantitative field
- Hands-on experience with statistical tools such as R, Stata, or Python
- Familiarity with AI model evaluation workflows or data annotation platforms
- Background in applied econometrics, policy analysis, or academic research
Why Join Us
- Work on cutting-edge AI projects with leading research labs at the frontier of model development
- Fully remote and flexible — complete tasks on your own schedule, from anywhere
- Freelance perks: full autonomy, variety of tasks, and collaboration with a global expert community
- Contribute to meaningful work that shapes how AI understands and teaches quantitative reasoning
- Potential for ongoing work and contract extension based on performance
Apply now
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