Financial Quality Assurance Lead (QAL)

You will lead quality assurance for AI training content in finance. The work covers financial explanations, calculations, investment analysis, accounting interpretations, valuation workflows, risk discussions, market summaries, and problem-solving steps.

You will also help finance trainers and reviewers work consistently by giving precise feedback, explaining updated guidance, maintaining documentation, and supporting onboarding and training. The role includes helping improve quality processes for remote teams.

• Review finance content for accurate calculations, sound assumptions, correct terminology, clear explanations, and appropriate risk caveats.
• Evaluate responses against detailed project rubrics and identify unsupported claims, calculation errors, unclear reasoning, and missing details.
• Give ongoing written feedback to trainers and quality reviewers.
• Answer questions about formulas, accounting treatment, valuation logic, risk, financial terminology, and rubric interpretation.
• Create and maintain style guides, trackers, frequently asked questions, quality notes, examples, calibration tasks, and onboarding materials.
• Run onboarding and training calls and support scalable finance quality assurance processes.

This is a remote, part-time contractor role for experienced finance reviewers. The listed schedule is 20 or more hours per week.

• Pay: $20 to $90 per hour.
• Work arrangement: Remote.
• Location: Open to candidates in the United States and India.
• Language: Strong written and spoken English.
• Experience level: Intermediate.
• Bring strong knowledge of financial statements, valuation, corporate finance, capital markets, investments, risk analysis, budgeting, forecasting, accounting principles, and time value of money.
• Be able to assess finance content against detailed rubrics and explain errors clearly.
• Have experience with finance tools or workflows such as Excel or Google Sheets modeling, DCF, comparable-company analysis, KPI dashboards, market research, financial databases, accounting systems, or financial reporting.
• Have experience leading or supporting remote teams of trainers, reviewers, analysts, accountants, writers, researchers, educators, or quality reviewers.
• Experience with AI training, data annotation, large language models, prompt or response evaluation, financial content quality assurance, or rubric-based model evaluation is required.
• Professional certifications such as CFA, CPA, ACCA, FRM, CMA, CA, or an equivalent credential are a plus.
• A degree in finance, accounting, economics, business administration, financial engineering, quantitative finance, or a related field is helpful.
• Strong attention to detail and organization are needed for remote, fast-moving workflows.

Apply on OpenTrain with your resume, then complete the application on the hiring site. Qualified candidates may be contacted for relevant opportunities as they become available.

AI training is the human work behind systems that generate and evaluate text, analysis, and other outputs. Reviewers with finance expertise help identify incorrect reasoning, weak assumptions, and unclear answers so AI systems can improve.