Engage in a unique opportunity to leverage your retail banking expertise to enhance AI systems'' understanding of consumer banking operations, lending workflows, and branch-level decision-making. This project-based role allows you to apply your knowledge in areas such as consumer lending, deposit operations, compliance, and relationship management to evaluate and improve AI performance on retail banking-specific tasks.

• Review and evaluate AI-generated outputs related to consumer lending decisions, deposit account servicing, regulatory compliance, and customer communication.
• Create realistic scenarios based on retail banking workflows, including mortgage origination, personal loan underwriting, account opening/closing, fraud escalation, and regulatory examinations.
• Annotate, label, and validate data across retail banking use cases such as credit decisioning, KYC/AML procedures, and customer dispute resolution.
• Provide structured feedback on AI accuracy in areas such as banking regulations (Reg Z, Reg E, TILA, RESPA, BSA/AML), product terms, and industry-specific terminology.
• Collaborate asynchronously with research teams to refine evaluation frameworks for banking-domain AI.

• 3+ years of professional experience at a commercial bank, credit union, or retail banking institution.
• Background in one or more areas such as:
• Branch operations and management
• Consumer or mortgage lending
• Deposit operations and treasury services
• Compliance, risk, or audit (BSA/AML, CRA, fair lending)
• Relationship management or private banking
• NMLS registration or banking certifications are a plus.
• Strong analytical thinking and ability to translate retail banking workflows into structured evaluation tasks.
• Clear written communication and attention to detail.

This project is expected to begin at an effective hourly rate of $45 - $65, transitioning to a compensation model based on the throughput of quality work rather than a flat accruing hourly rate.