Finance Lecturer (AI Training)
About this role
About the Role We're looking for finance lecturers and economists to help train the next generation of AI systems. Your subject-matter expertise will directly shape how AI understands and communicates financial reasoning — from corporate valuation to market behavior to economic theory. This is a fully remote, flexible contract role. Work on your own schedule and contribute to cutting-edge AI projects that are redefining how machines understand complex financial concepts. - 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 key financial concepts including valuation, risk management, market behavior, and financial economics - Provide clear, structured feedback to improve the quality and clarity of AI-generated financial reasoning - Apply your teaching experience to identify common misconceptions and gaps in AI-generated content - Work independently and asynchronously to complete task-based assignments 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 and communicate feedback clearly - Comfortable working through structured content at scale with attention to detail - 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 (investment banking, asset management, etc.) - Familiarity with AI systems, model evaluation, or data annotation workflows Why Join Us - Work on cutting-edge AI projects with top research labs and frontier language models - Fully remote and flexible — work when and where it suits you - Freelance perks: autonomy, variety, and global collaboration - Gain firsthand exposure to how large language models are trained and evaluated - Contribute to meaningful work that shapes how AI reasons about finance and economics worldwide - Potential for ongoing work and contract extension
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