About The RoleWe're looking for finance lecturers and economists to help shape how the next generation of AI systems understands financial and economic reasoning. Your expertise will directly influence how AI explains valuation, risk, market behavior, and more — making a real impact on the quality and trustworthiness of AI in one of the world's most consequential domains.Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview and evaluate finance-related questions, answers, and explanations used in AI trainingAssess the accuracy and clarity of concepts such as corporate valuation, risk modeling, and market behaviorIdentify common misconceptions and logical gaps in AI-generated financial reasoningProvide structured, actionable feedback to improve the quality and reliability of AI outputsWork independently and asynchronously on your own scheduleWho You Are3+ years of experience teaching finance or economics at the postsecondary levelStrong command of corporate finance, financial markets, or financial economicsAbility to evaluate written financial reasoning with precision and clarityComfortable reviewing and rating structured content at scaleSelf-motivated and reliable when working independentlyNice to HaveGraduate degree in Finance, Economics, or a related fieldIndustry or applied finance experience (investment banking, asset management, consulting, etc.)Familiarity with AI systems, model evaluation, or data annotation workflowsWhy Join UsWork on cutting-edge AI projects with top research labsFully remote and flexible — work on your own scheduleFreelance perks: autonomy, variety, and global collaborationUse your teaching expertise to shape how AI reasons about finance at a global scalePotential for ongoing work and contract extension