About The Role
We're looking for finance lecturers and economists to help shape how the next generation of AI understands financial and economic concepts. Your subject-matter expertise will directly influence how AI reasons about valuation, risk, markets, and more — making a real impact on one of the most high-stakes domains in AI development.
• Organization: Alignerr (Powered by Labelbox)
• Type: Hourly / Task-based Contract
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Location:
Remote
• Commitment: 10–40 hours/week

What You'll Do
• Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets
• Assess the accuracy and clarity of key financial concepts including valuation, risk, capital markets, and economic theory
• Provide structured, expert feedback to improve the quality of AI-generated financial reasoning
• Apply your teaching experience to identify common misconceptions and suggest clearer explanations
• Work independently and asynchronously on a schedule that suits you Who You Are




• 3+ years of experience teaching finance or economics at the postsecondary level
• Solid command of corporate finance, financial markets, or financial economics
• Able to critically evaluate written financial reasoning and communicate feedback clearly
• Comfortable working through structured content independently and at scale
• Self-motivated and reliable in a remote, asynchronous workplace Nice to Have
• Graduate degree in Finance, Economics, or a related field
• Industry or applied finance experience (investment banking, asset management, financial analysis, etc.)
• Familiarity with AI systems, model evaluation, or data annotation workflows Why Join Us
• Work on cutting-edge AI projects with top research labs
• Fully remote and adaptable — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that shapes how AI understands the financial world
• Potential for ongoing work and contract extension

📌 Finance Lecturer Melbourne (Australia)
🏢 Alignerr
📍 Australia