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 subject-matter expertise will directly influence the quality, accuracy, and clarity of AI outputs across topics like corporate finance, market behavior, valuation, and risk — making a real impact on how AI serves finance professionals and learners worldwide.
- 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 of financial concepts including valuation, risk, market behavior, and economic theory
- Identify common misconceptions, logical gaps, or misleading explanations
- Provide clear, structured feedback to improve AI-generated financial reasoning
- Apply your teaching experience to ensure content is accessible, precise, and pedagogically sound
- Work independently and asynchronously on a schedule that fits your life
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 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, consulting, etc.)
- Familiarity with AI systems, model evaluation, or data labeling workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs and AI teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with experts across the globe
- Contribute to meaningful work that improves how AI understands complex financial concepts
- Potential for ongoing work and contract extension