
Economics Teacher (Postsecondary – AI Training)
Department:Data Analysis
Type:REMOTE
Region:Australia
Location:Sydney, New South Wales, Australia
Experience:Mid-Senior level
Estimated Salary:A$72,800 - A$145,600
Skills:
ECONOMICSTEACHINGMICROECONOMICSMACROECONOMICSAPPLIED ECONOMICSECONOMIC REASONINGCONTENT EVALUATIONFEEDBACK PROVISIONAI SYSTEMSLLMSDATA ANALYSIS
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Job Description
Posted on: February 13, 2026
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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