Finance Lecturer (AI Training)
About this role
About the Role We're looking for finance lecturers and economists to help shape how AI understands financial and economic reasoning. Your subject-matter expertise will directly influence the quality and accuracy of next-generation AI systems — making a real impact on how AI handles everything from valuation and risk to market behavior and economic theory. - 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 and clarity of core financial concepts including valuation, risk, capital markets, and economic theory - Provide structured, expert feedback to improve the quality of AI-generated financial reasoning - Apply your teaching experience to identify common misconceptions and unclear explanations - 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 - Ability to critically evaluate written financial reasoning with precision and clarity - Comfortable reviewing and rating structured content at scale - Self-motivated and reliable when working independently 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 or model evaluation workflows Why Join Us - Work on cutting-edge AI projects alongside top research labs - Fully remote and flexible — work on your own schedule, on your terms - Freelance perks: autonomy, variety, and global collaboration - Contribute to meaningful work that improves how AI reasons about finance and economics worldwide - Potential for ongoing work and contract extension
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