Description review

Financial Compliance AI Evaluator

mercor · United Kingdom · back to the listing

HR standards

79/100

solid

Title ↔ description

59/100

needs work

Reads as

Unclear

no confident match

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Compliance / regulatory response with financial-services AI Evaluator
Type:Contract
Compensation:$80–$120/hour
Location:Remote

Role Responsibilities

• Evaluate AI-generated artifacts against domain-specific quality rubrics.

• Identify factual, aesthetic, and presentation errors.

• Provide clear, structured written feedback.

• Apply deep subject-matter expertise to grade outputs.

• Review and assess AI-generated work products for accuracy, rigor, and domain quality.

• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

Must-Have

• 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.

Preferred

• Advanced degree (Master's or higher) from a reputable institution.

Application Process (Takes 20–30 mins to complete)

• Upload resume

• AI interview based on your resume

• Submit form

Resources & Support

• For details about the interview process and platform information, please check:

• For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 0 points (from 79 before penalties). Reviewed 28 Sep 2026.