Econometrics Instructor

Alignerr is a technology-focused organization that appears to specialize in roles related to artificial intelligence and cybersecurity. The job titles suggest an emphasis on AI training, infrastructure development, and security operations, indicating potential involvement in areas such as machine learning model development, system architecture, and threat detection. While the exact nature of the company's business remains unspecified, the recurring presence of AI-related positions implies a strategic focus on integrating advanced technologies into secure and scalable systems. The inclusion of roles like Governance, Risk & Compliance Analyst and Vulnerability Management Analyst further points to an environment where regulatory adherence and risk mitigation are critical components of operations. Alignerr likely operates in a sector that requires robust technical expertise and compliance with industry standards.

Econometrics Instructor (AI Training) About The Role We're looking for experienced econometrics instructors and quantitative economists to help evaluate and improve AI systems trained on economic reasoning and statistical analysis. Your expertise will directly shape how AI understands and communicates complex econometric concepts — making a real impact on the future of AI in economics and data science. Organization: Alignerr (Powered by Labelbox) Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review and validate econometric questions, models, and explanations used in AI training Assess statistical accuracy, underlying assumptions, and interpretation of quantitative results Provide structured, expert feedback to improve AI reasoning quality and clarity Apply your real-world teaching experience to identify errors, misconceptions, and edge cases Work independently and asynchronously on your own schedule Who You Are 3+ years of experience teaching econometrics or quantitative economics Strong command of regression analysis, causal inference, and statistical methods Able to clearly explain and rigorously evaluate quantitative reasoning Comfortable reviewing and critiquing structured technical content Detail-oriented, self-motivated, and reliable Nice to Have Master's or PhD in Economics, Statistics, or a related field Hands-on experience with statistical tools such as R, Stata, or Python Familiarity with AI systems, model evaluation, or data annotation workflows Why Join Us Work on cutting-edge AI projects with top research labs Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that shapes how AI reasons about economics and data Potential for ongoing work and contract extension Show more