Finance Lecturer; AI Training

We're looking for finance lecturers and economists to help shape how AI understands and communicates financial and economic reasoning. Your academic expertise will directly influence the accuracy and quality of next-generation AI systems — making a real impact on how AI handles everything from corporate valuation to market behavior.

• Organization:
  Alignerr (Powered by Labelbox)
• Type:
  Hourly / Task-based Contract
• Location:
  
  Remote
• Commitment: 10–40 hours/week

• Review and evaluate finance-related questions, explanations, and reasoning used in AI training datasets
• Assess the accuracy of financial concepts including valuation, risk analysis, and market behavior
• Identify common misconceptions and gaps in AI-generated financial content
• Provide clear, structured feedback to improve the quality and clarity of financial reasoning
• Apply your teaching experience to ensure content is both technically accurate and pedagogically sound
• Work independently and asynchronously on your own schedule

• 3+ years of experience teaching finance or economics at the postsecondary level
• Strong command of corporate finance, financial markets, or financial economics
• Able to critically evaluate written financial reasoning and identify errors or ambiguities
• Comfortable reviewing structured content at scale with attention to consistency and accuracy
• Self-motivated and reliable when working independently on task-based assignments

• Graduate degree in Finance, Economics, or a related field
• Industry or applied finance experience (investment banking, asset management, consulting, etc.)
• Familiarity with AI systems, model evaluation, or data labeling workflows

• Work on cutting-edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute to meaningful work that shapes how AI reasons about finance and economics
• Potential for ongoing work and contract extension