About the Role
We're looking for finance lecturers and economists to help shape how the next generation of AI understands financial and economic reasoning. Your subject matter expertise will directly influence how AI systems explain concepts like valuation, risk, and market behavior — work that has real impact at scale.
- 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 datasets
- Assess the accuracy and rigor of financial concepts including corporate valuation, risk modeling, and market behavior
- Provide clear, structured feedback to improve the quality and clarity of AI-generated financial reasoning
- Apply your teaching experience to identify common misconceptions and gaps in AI explanations
- Work independently and asynchronously on task-based assignments that fit your 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
- Able to critically evaluate written financial reasoning and communicate feedback clearly
- Comfortable reviewing structured content at scale with attention to detail
- 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 leading research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that improves how AI reasons about finance
- Potential for ongoing work and contract extension