Financial Quality Assurance Lead

The work

As a Financial Quality Assurance Lead, you will review AI-generated finance content and trainer QA work. You will check whether explanations, calculations, analyses, and accounting interpretations are accurate, clear, complete, and aligned with project rubrics.

You will also help trainers and reviewers improve their work, keep finance guidance up to date, and support onboarding and quality operations across remote teams.

• Review financial explanations, calculations, investment analyses, accounting interpretations, valuation workflows, risk discussions, market summaries, and problem-solving steps.
• Check financial accuracy, analytical reasoning, formulas, assumptions, terminology, accounting treatment, valuation logic, risk caveats, formatting, and instruction-following.
• Find recurring quality problems and give precise written feedback to trainers and quality reviewers.
• Answer questions about financial reasoning, formulas, assumptions, accounting, valuation, risk, terminology, and rubric interpretation.
• Create and maintain style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Share new guidelines and workflow updates, run onboarding and training calls, and help improve scalable finance QA processes.

What it pays and takes

This is a remote, part-time contractor role for experienced finance reviewers. The listing includes candidates in the United States and India, while the role description specifically identifies the United States as the location.

• Pay: $20 to $90 per hour, with a maximum rate of $90 per hour.
• Availability: 20 or more hours per week.
• Language: Strong written and spoken English.
• Finance knowledge: Financial statements, valuation, corporate finance, capital markets, investments, risk analysis, budgeting, forecasting, accounting principles, and time value of money.
• Review skills: Identify incorrect assumptions, flawed calculations, unsupported claims, missing caveats, and unclear explanations against detailed rubrics.
• Tools and workflows: Experience with Excel or Google Sheets modeling, DCF, comparable-company analysis, KPI dashboards, market research, financial databases, accounting systems, or financial reporting.
• Leadership: Experience leading or supporting remote teams of trainers, reviewers, analysts, accountants, writers, researchers, educators, or quality reviewers.
• AI training: Experience with data annotation, large language models, prompt or response evaluation, financial content QA, or rubric-based LLM evaluation.
• Helpful background: A degree in finance, accounting, economics, business administration, financial engineering, quantitative finance, or a related field. CFA, CPA, ACCA, FRM, CMA, CA, or equivalent certification is a plus.
• Personal strengths: High attention to detail and strong organization in remote, fast-moving workflows.

How it works

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.

About AI training work

AI training work is the human work behind systems that generate and understand content. Reviewers check model responses against clear standards so these systems can produce more accurate, useful, and responsible results, and specialized finance knowledge is valuable for this work.