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Retail Banking Expert – AI Trainer

Mercor · Charlotte, NC · AI research and retail banking scenario development

Compensation

$60 – $70 /hr

Employment type

Full-time

Work setting

On-site

Location

Charlotte, NC

Schedule

Day shift

Posted

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Job overview

The Retail Banking Expert – AI Trainer role is remote, with the listing location in Charlotte, NC. Compensation is $60–$70 per hour. Mercor connects creative and technical talent with leading AI research labs. The role creates realistic enterprise retail-banking scenarios and evaluation materials to help assess and improve AI model performance. It draws on hands-on banking expertise across lending, branch and digital operations, risk, fraud, and compliance.

What you'll do

  • Construct enterprise retail-banking scenarios covering deposit and lending operations, branch-network decisions, and regulatory reviews
  • build tasks across consumer lending, branch and digital banking, credit risk, underwriting, fraud prevention, and customer experience
  • develop scenarios involving core banking, loan origination, CRM, and fraud or AML tools
  • apply banking frameworks and produce reference policies, risk assessments, and operational narratives
  • author rubrics that distinguish authentic banking judgment from generic recall.

What we're looking for

Skills & competencies
retail banking expert
ai trainer
remote
mercor
contract
consumer lending
branch operations
credit risk
underwriting
fraud prevention
kyc/aml
$60–$70/hr
Work arrangement
  • Weekend coverage required

Why this role

Remote contract opportunity requiring at least five years of relevant experience at a Fortune 500 retail bank and direct ownership of large-scale banking operations, portfolios, or compliance programs.

About the employer

Mercor is hiring for this role. Industry: All Other Professional, Scientific, and Technical Services. Sector: 54.

Additional details

Industry sector
54
Industry
All Other Professional, Scientific, and Technical Services
Occupation code
13-2072.00
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Listing ID: 6c793a1b-9c6e-46df-8087-0a0b780f0311

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