Econometrics Instructor, AI Training

About The Econometrics Instructor, AI Training Role at Alignerr

Alignerr is seeking experienced Econometrics Instructors to play a crucial role in evaluating and refining AI systems. These systems are specifically trained on quantitative economic reasoning and statistical analysis, requiring expert oversight to ensure accuracy and effective learning.

What You'll Do as an Econometrics Instructor, AI Training

• Review and validate econometric questions, models, and explanations utilized in AI training datasets.
• Assess the statistical accuracy, underlying assumptions, and interpretation of results produced by AI models.
• Provide clear, structured feedback to facilitate improvements in the AI model's reasoning capabilities and overall clarity.
• Leverage real-world teaching experience to pinpoint errors, identify edge cases, and enhance the robustness of AI outputs.
• Work independently and asynchronously, managing your own schedule to consistently meet project deadlines.

Who Alignerr is Looking For

To succeed in this role, you should possess:

• At least 3 years of experience teaching econometrics or related quantitative economics subjects.
• A robust understanding of regression analysis, causal inference methodologies, and advanced statistical methods.
• The ability to clearly articulate and evaluate complex quantitative reasoning processes.
• Comfort and proficiency in reviewing highly structured and technical content.

Nice to Have Qualifications

• A Master’s or PhD in Economics or a closely related field.
• Practical experience with statistical software and programming languages such as R, Stata, or Python.
• Familiarity with artificial intelligence concepts or model evaluation workflows.

Why Join Alignerr

Joining Alignerr offers a unique opportunity to:

• Receive competitive compensation and enjoy the flexibility of remote work.
• Lead efforts on cutting-edge AI projects, shaping the future of economic reasoning in AI.
• Gain valuable exposure to advanced Large Language Models (LLMs) and their intricate training processes.
• Benefit from freelance perks including high autonomy, flexible hours, and global collaboration opportunities.
• Potential for contract extension based on performance and project needs.

Key skills/competency

• Econometrics
• Statistical Analysis
• Causal Inference
• Quantitative Reasoning
• Model Validation
• AI Training
• Feedback Provision
• Curriculum Development
• Technical Review
• Data Interpretation