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Economics Teacher (Postsecondary)

Alignerr
Department:Data Analysis
Type:REMOTE
Region:Australia
Location:Sydney, New South Wales, Australia
Experience:Mid-Senior level
Estimated Salary:A$72,800 - A$291,200
Skills:
ECONOMICSTEACHINGMICROECONOMICSMACROECONOMICSAPPLIED ECONOMICSECONOMIC REASONINGCONTENT EVALUATIONFEEDBACK PROVISIONAI TRAININGLLMS
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Job Description

Posted on: March 16, 2026

Economics Teacher (Postsecondary – AI Training)About The Role We’re looking for experienced postsecondary Economics instructors to help evaluate and improve AI systems trained on economic reasoning and explanations.

  • Organization: Alignerr (Powered by Labelbox)
  • Location: Remote
  • Type: Hourly / Task-based Contract
  • Compensation: $35-70 /hour
  • 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 feedback to improve economic reasoning and model outputs.
  • Apply real-world teaching experience to validate concepts and edge cases.
  • Work independently and asynchronously to meet project deadlines.

Who You Are

  • 3+ years of full-time experience teaching economics at the postsecondary level.
  • Strong command of core economics topics (micro, macro, applied economics).
  • Able to clearly explain and evaluate economic reasoning in written form.
  • Comfortable reviewing structured content and providing detailed feedback.

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, LLMs, or content evaluation workflows.

Why Join Us

  • Competitive pay and flexible remote work.
  • Lead a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they’re trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.

Application Process (Takes 10-15 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on LinkedIn

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