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
- 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
- Strong 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 environment
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 flexible — 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