About the Role
We're looking for finance lecturers and economists to help shape how AI understands and reasons about financial concepts. Your subject-matter expertise will directly influence the accuracy and quality of AI systems trained on corporate finance, economic theory, and market behavior — work that matters at a global scale.
- Organization: Alignerr (Powered by Labelbox)
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review finance-related questions, explanations, and reasoning used in AI training datasets
- Assess the accuracy and depth of financial concepts including valuation, risk, capital markets, and economic theory
- Identify errors, misconceptions, or gaps in AI-generated financial reasoning
- Provide structured, expert feedback to improve clarity and conceptual correctness
- Apply your teaching experience to flag common student and AI misconceptions
- 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
- Able to clearly evaluate and critique written financial reasoning
- Comfortable reviewing structured content systematically and at scale
- 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 (banking, investment, 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 when and where it suits you
- Freelance perks: autonomy, variety, and global collaboration
- Make a real impact on how AI understands finance and economics
- Potential for ongoing work and contract extension