About The Role
We're looking for finance lecturers and economists to help shape how the next generation of AI systems understands financial and economic reasoning. Your expertise will directly influence how AI explains valuation, risk, market behavior, and more — making a real impact on the quality and trustworthiness of AI in one of the world's most consequential domains.
- 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, answers, and explanations used in AI training
- Assess the accuracy and clarity of concepts such as corporate valuation, risk modeling, and market behavior
- Identify common misconceptions and logical gaps in AI-generated financial reasoning
- Provide structured, actionable feedback to improve the quality and reliability of AI outputs
- 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 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, 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
- Use your teaching expertise to shape how AI reasons about finance at a global scale
- Potential for ongoing work and contract extension
