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 reasoning will directly influence how AI systems understand and explain econometrics — making a real impact on one of the most technically demanding fields in AI training.
Econometrics Instructor (AI Training)
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 reasoning will directly influence how AI systems understand and explain econometrics — making a real impact on one of the most technically demanding fields in AI training.
This is a fully remote, flexible contract role where your expertise drives the work.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-based Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and validate AI-generated econometric questions, models, and explanations for correctness and clarity
- Assess statistical assumptions, methodology, and interpretation of results
- Identify errors, logical gaps, and edge cases in quantitative reasoning
- Provide structured, expert feedback to improve AI model outputs
- Apply real-world teaching and research experience to evaluate how well AI communicates complex concepts
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of experience teaching econometrics or quantitative economics at the university or professional level
- Strong command of regression analysis, causal inference, and applied statistical methods
- Able to clearly evaluate and articulate quantitative reasoning in written form
- Comfortable reviewing structured, technical content with precision and consistency
- Self-motivated and reliable when working independently
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 evaluation workflows or model assessment
Why Join Us
- Work on cutting-edge AI projects alongside top research labs
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that improves how AI reasons about economics and statistics
- Potential for ongoing work and contract extension
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Econometrics Instructor in Toronto employer: Alignerr Corp.
Alignerr is an exceptional employer for electrical engineering professionals, offering the unique opportunity to work on groundbreaking AI projects from the comfort of your own home. With a fully remote and asynchronous work culture, you can enjoy the flexibility to design challenging problems and author gold-standard solutions while collaborating with a global team. The potential for ongoing work and contract extensions, combined with the chance to gain insider exposure to advanced AI model training, makes Alignerr a rewarding place to advance your career.
