{"html":"<p>In this hourly, remote contractor role, you will work as a Financial Analysis Subject Matter Expert (SME) to review AI-generated financial analysis and business-finance responses and/or create expert finance content, evaluating reasoning quality and step-by-step analytical problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in financial modeling logic, assumptions, unit economics, valuation reasoning, forecasting, and metric interpretation; fact-check finance concepts and calculations; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.</p>\n<p>Important:\nThere is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.</p>\n<h3>Responsibilities</h3><ul><li>Develop AI Training Content: Create detailed prompts and gold-standard finance outputs (models, assumptions tables, narratives, sensitivity analyses, investment-style summaries).</li><li>Optimize AI Performance: Evaluate and rank AI responses to improve numeric correctness, rigor, clarity, and practical usefulness.</li><li>Ensure Model Integrity: Test AI outputs for calculation errors, misleading interpretations, unsafe assumptions, and bias; validate reliability across business scenarios.</li></ul><h3>Requirements</h3><ul><li>Bachelor’s degree (or higher) in Finance, Accounting, Economics, Business, Mathematics/Statistics, or a related field; CFA/MBA is a strong plus.</li><li>5+ years of professional experience in financial analysis (FP&amp;A, corporate finance, investment banking, equity research, consulting, or similar).</li><li>Strong command of core finance concepts: 3-statement logic, cash flow drivers, working capital, margin analysis, capital allocation, and basic corporate accounting linkage.</li><li>Proven experience building and reviewing financial models (forecasting, scenario/sensitivity analysis, cohort/unit economics, pricing/packaging analyses).</li><li>Comfortable with valuation reasoning (DCF mechanics, comps selection, multiple drivers) and clearly stating assumptions and limitations.</li><li>Strong quantitative rigor and attention to detail (units, sign conventions, time horizons, circularity, error-checks).</li><li>Ability to communicate complex analyses clearly in writing (executive summary, key drivers, risks, recommendations); minimum C1 English proficiency.</li><li>Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.</li><li>Prior experience with AI data training/annotation, finance QA, investment memo review, or analytics editorial work is strongly preferred.</li></ul>"}