About the Role
We're looking for finance lecturers and economists to help shape how AI understands financial and economic reasoning. Your subject-matter expertise will directly influence the quality and accuracy of next-generation AI systems — making a real impact on how AI handles everything from valuation and risk to market behavior and economic theory.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-Based Contract
- 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 core 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 unclear explanations
- Work independently and asynchronously on your own schedule
Who You Are
- 3+ years of experience teaching finance or economics at the postsecondary level
- Strong command of corporate finance, financial markets, or financial economics
- Ability to critically evaluate written financial reasoning with precision and clarity
- Comfortable reviewing and rating structured content at scale
- Self-motivated and reliable when working independently
Nice to Have
- Graduate degree in Finance, Economics, or a related field
- Industry or applied finance experience (investment banking, asset management, consulting, etc.)
- Familiarity with AI systems or model evaluation workflows
Why Join Us
- Work on cutting-edge AI projects alongside top research labs
- Fully remote and flexible — work on your own schedule, on your terms
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that improves how AI reasons about finance and economics worldwide
- Potential for ongoing work and contract extension