Apply statistical methods and causal inference remotely as an Econometrics Instructor shaping AI training through expert review. Work flexibly on a contract basis.
Alignerr, powered by Labelbox, seeks experienced econometrics instructors and quantitative economists. You will evaluate AI-generated questions, models, and explanations while applying regression analysis, economic reasoning, and applied statistical methods. The work is hourly, task-based, and remote.
Key Responsibilities:
- Review AI-generated econometric questions, models, and explanations
- Assess statistical assumptions, methodology, and result interpretation
- Identify errors, logical gaps, and quantitative edge cases
- Provide structured feedback to improve AI model outputs
- Evaluate AI communication of complex econometric concepts
Requirements:
- Three-plus years teaching econometrics or quantitative economics
- Strong regression analysis and causal inference knowledge
- Command of applied statistical methods
- Clear written evaluation of quantitative reasoning
- Ability to work independently and asynchronously
Bring econometrics teaching expertise, statistical precision, and causal inference knowledge to Alignerr's remote AI training work.
Remote Econometrics AI Training Instructor 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.
