Economics Teacher (Postsecondary – AI Training)

About The Role

What if your economics expertise could help shape how the next generation of AI understands markets, policy, and human behavior? We're looking for experienced postsecondary Economics instructors to evaluate and improve AI systems trained on economic reasoning — bringing real academic rigor to cutting-edge AI development.

This is a fully remote, flexible contract role where your classroom knowledge becomes the benchmark for AI quality.

Organization: Alignerr (Powered by Labelbox) Type: Hourly / Task-based Contract Location: Remote Commitment: 10–40 hours/week

What You'll Do

Design and review economics questions and scenarios used to train and evaluate AI systems Assess the accuracy, clarity, and depth of AI-generated economics content Provide structured, expert feedback to improve economic reasoning in model outputs Apply real-world teaching experience to validate concepts, edge cases, and explanations Work independently and asynchronously on your own schedule

Who You Are

3+ years of full-time experience teaching economics at the postsecondary level Strong command of core economics topics — microeconomics, macroeconomics, and applied economics Able to clearly explain and critically evaluate economic reasoning in written form Comfortable reviewing structured content and delivering detailed, actionable feedback Self-motivated and reliable with the ability to meet project deadlines independently

Nice to Have

Master's or PhD in Economics Experience grading or evaluating academic work at scale Background in applied, policy, or data-driven economics Familiarity with AI systems, large language models (LLMs), or content evaluation workflows

Why Join Us

Work on cutting-edge AI — contribute directly to how leading AI systems reason about economics Fully remote and flexible — work when and where it suits you, on your own schedule Freelance autonomy — task-based work with no micromanagement Meaningful impact — your expertise sets the standard for AI economic reasoning Global collaboration — work alongside experts from around the world Potential for ongoing work — strong contributors are considered for contract extensions