Financial Quality Assurance Lead; QAL

Pay: up to $90/hour

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 Super Annotate, 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.

• Quality monitoring:
  Spot-check finance items, identify quality issues, provide ongoing feedback through DMs, and elevate recurring or critical issues.
• Financial review:
  Evaluate AI-generated finance explanations, financial calculations, investment analyses, accounting interpretations, valuation workflows, risk discussions, market summaries, and problem-solving steps for accuracy, clarity, and appropriate caution.
• Trainer and QA communication:
  Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and finance-review-specific standards.
• Question handling:
  Respond to trainer/QA questions clearly and promptly, especially around financial reasoning, formulas, assumptions, accounting treatment, valuation logic, risk caveats, terminology, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation:
  Create and maintain finance project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training:
  Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and finance-specific review requirements.
• Quality alignment:
  Ensure all trainers and QAs apply finance-review guidelines consistently and understand updates as projects evolve.
• Risk and compliance review:
  Flag unsafe, misleading, overconfident, or non-compliant finance outputs, especially where the content could be interpreted as personalized investment, tax, accounting, lending, insurance, or financial advice.
• Process improvement:
  Identify recurring quality gaps, propose workflow…