About the Role
AI is being trained to reason about markets, valuation, and economic behavior — and it needs expert guidance to get it right. We're looking for finance lecturers and economists to evaluate and improve how AI systems understand and explain financial concepts.
This is a fully remote, flexible contract role where your academic and professional expertise directly shapes the quality of cutting-edge AI models used by millions of people.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly / Task-based Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review finance and economics questions and AI-generated explanations for accuracy and clarity
- Evaluate the quality of reasoning across topics like corporate valuation, risk, market behavior, and financial economics
- Identify conceptual errors, misleading explanations, and common misconceptions
- Provide structured, detailed feedback to improve how AI communicates financial reasoning
- Apply your teaching experience to assess whether explanations would make sense to learners at varying levels
- 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, capital markets, or financial economics
- Able to critically evaluate written financial reasoning and identify where it breaks down
- Comfortable working through structured content at scale with attention to detail
- Self-motivated and reliable in an asynchronous remote environment
Nice to Have
- Graduate degree (Master's or PhD) 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 and leading LLM developers
- Fully remote and flexible — work when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Get firsthand exposure to how advanced AI models are trained and evaluated
- Meaningful work that improves how AI handles real financial knowledge
- Potential for ongoing work and contract extension