Financial Quality Assurance Lead (QAL)

In this hourly, remote contractor role, you will work as a Finance Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across finance AI training projects. You will review AI-generated finance content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards.

You will assess work for financial accuracy, analytical reasoning, calculation correctness, terminology quality, market and accounting awareness, risk sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong finance expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote finance-review teams.

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. Your finance quality leadership will directly help improve the world’s premier AI models by ensuring that finance training data is accurate, logically sound, clearly explained, appropriately cautious, well-documented, and aligned with client expectations.

Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Important: There 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.

Requirements: - Bachelor’s or Master’s degree in Finance, Accounting, Economics, Business Administration, Financial Engineering, Quantitative Finance, or a closely related field. - Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear finance-review feedback in English. - 3+ years of professional experience in finance, financial analysis, investment analysis, corporate finance, accounting, banking, valuation, FP&A, risk management, audit, fintech, financial operations, or related workflows. - Strong understanding of core finance topics such as financial statements, valuation, corporate finance, capital markets, investments, portfolio concepts, risk analysis, budgeting, forecasting, accounting principles, financial ratios, and time value of money. - Ability to evaluate finance content against detailed rubrics and identify issues such as incorrect assumptions, flawed calculations, unsupported investment claims, missing caveats, hallucinated financial facts, misleading risk statements, incomplete reasoning, or unclear explanations. - Familiarity with finance workflows or tools such as Excel/Google Sheets modeling, financial statements, valuation models, DCF, comparables, budgeting/forecasting, KPI dashboards, market research, financial databases, accounting systems, or financial reporting is preferred. - Experience leading or supporting remote teams of trainers, annotators, reviewers, analysts, accountants, finance writers, researchers, educators, or QAs is strongly preferred. - Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. - Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. - Experience with AI training, data annotation, large language models, prompt/response evaluation, financial content QA, or rubric-based LLM evaluation is a strong plus. - Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or equivalent are a plus.