Job Description

Economics Teacher (Postsecondary – AI Training)

What if your classroom experience could shape how millions of people access economic knowledge through AI? We're looking for experienced postsecondary Economics instructors to help evaluate and improve AI systems trained on economic reasoning, theory, and real-world application.

Your expertise will directly influence how AI explains concepts like supply and demand, monetary policy, market failures, and behavioral economics — making these tools smarter and more reliable for everyone.

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 conceptual depth of AI-generated economics content
• Provide structured, expert feedback to improve economic reasoning and model outputs
• Apply your real-world teaching experience to validate concepts, edge cases, and nuanced arguments
• Work independently and asynchronously — no meetings, no rigid schedules

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 when working independently on task-based projects

Nice to Have

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

Why Join Us

• Meaningful impact — your economic expertise directly improves how AI reasons about the world
• Fully remote and flexible — work on your own schedule, from anywhere
• Cutting-edge projects — get firsthand exposure to how advanced AI systems are trained and evaluated
• Autonomy — task-based work means you're in control of your time and output
• Global collaboration — connect with a diverse community of subject-matter experts
• Potential for ongoing work — strong contributors are considered for contract extensions and future projects

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