Compliance AI Evaluator - Finance

Mercor

Toronto

Remote

CAD 55,000 - 110,000

Part time

14 days+
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Job summary

Mercor is seeking expert Evaluators in Compliance / regulatory response with financial-services AI to review AI-generated documents, spreadsheets, and slide decks for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs.

This is a remote, hourly engagement. You will evaluate AI-generated artifacts and provide clear, structured written feedback, leveraging strong English and office-suite skills to support high-quality deliverables.

Qualifications

  • 5+ years of relevant professional experience in Compliance/regulatory response with financial-services AI.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint).

Responsibilities

  • Evaluate AI-generated artifacts against domain-specific quality rubrics.
  • Identify factual, aesthetic, and presentation errors.
  • Provide clear, structured written feedback.

Skills

Compliance
Regulatory review
English fluency

Education

Master's degree or higher

Tools

Microsoft Office
Google Workspace
Google Slides
PowerPoint

Job description

About the role

We are hiring expert Evaluators in Compliance / regulatory response with financial-services AI to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs.

This is a remote, hourly engagement.

Requirements (must have)
  1. 5+ years of relevant professional experience in Compliance / regulatory response with financial-services AI.

  2. Native or professional fluency in English.

  3. Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint).

Preferred (nice to have)
  • Advanced degree (Master's or higher) from a reputable institution.
What you’ll do
  • Evaluate AI-generated artifacts against domain-specific quality rubrics.

  • Identify factual, aesthetic, and presentation errors.

  • Provide clear, structured written feedback.

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