Finance Lecturer
About this role
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
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