Finance Lecturer (AI Training) in London

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 expertise will directly influence how AI models explain valuation, interpret market behavior, and communicate complex financial concepts — making a real impact on one of the most consequential technologies of our time.
Organization: Alignerr (Powered by Labelbox)
Type: Hourly 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 analysis, and market behavior
Identify misconceptions and gaps in AI‑generated financial reasoning
Provide clear, structured feedback to improve the quality and depth of AI responses
Apply your teaching experience to flag common student‑level errors and oversimplifications
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 with clarity and precision
Comfortable working through structured content at scale
Self‑motivated and reliable in an async remote environment
Nice to Have
Graduate degree in Finance, Economics, or a related field
Industry or applied finance experience (investment banking, asset management, consulting, etc.)
Prior exposure to AI model evaluation or data labeling workflows
Why Join Us
Work on cutting‑edge AI projects with top research labs
Fully remote and flexible — work on your own schedule
Freelance perks: autonomy, variety, and global collaboration
Contribute to meaningful work that shapes how AI reasons about finance and economics
Potential for ongoing work and contract extension
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