About the Role
What if your classroom experience could help shape how the next generation of AI understands supply curves, monetary policy, and market failures? We're looking for experienced postsecondary Economics instructors to evaluate and improve AI systems trained on economic reasoning — bringing the same rigor you'd apply in the lecture hall to the cutting edge of AI development.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-Based Contract
- Location: Fully 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 analytical depth of AI-generated economics content
- Provide structured, expert feedback to improve economic reasoning in model outputs
- Apply your real-world teaching experience to validate concepts, identify misconceptions, and stress-test edge cases
- Work independently and asynchronously — no set hours, no meetings required
Who You Are
- 3+ years of full-time experience teaching economics at the postsecondary level
- Strong command of core economics topics including microeconomics, macroeconomics, and applied economics
- Able to clearly evaluate and articulate economic reasoning in written form
- Comfortable reviewing structured content and delivering detailed, constructive feedback
- Self-motivated and reliable when working independently
Nice to Have
- Master's or PhD in Economics
- Experience grading or evaluating student 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
- Flexible remote work — contribute on your own schedule, from anywhere
- Work on cutting-edge AI — gain firsthand exposure to how advanced LLMs are trained and evaluated
- Use your expertise meaningfully — your teaching knowledge directly improves AI for students and professionals worldwide
- Freelance perks — autonomy, variety, and collaboration with a global network of subject-matter experts
- Potential for ongoing work — high-quality contributors are prioritized for contract extensions and new projects