You check finance questions and reasoning used in AI datasets, correcting conceptual errors and common misconceptions. It suits finance lecturers with corporate finance or market experience who work systematically and independently.
About the role
Finance Lecturer (AI Training)
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
- Commitment : 10–40 hours/week
- 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
- Work independently and asynchronously — on your own schedule
- 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
- Self-motivated and reliable in an asynchronous remote environment
- 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
- Familiarity with AI systems, model evaluation, or data annotation workflows
- 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
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