AI Banking Tutor at Mercor

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AI Banking Tutor at Mercor. Location Information: USA. This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.. Role Description. Mercor is partnering with a leading AI research group to engage experienced banking professionals in a high-impact project focused on training and refining advanced AI systems. This opportunity involves providing high-quality annotations and data inputs across diverse banking domains, including corporate banking operations, retail services, loan processing, customer account management, and financial product offerings.. As an . AI Banking Data Specialist . , you will help shape how advanced AI models understand and reason about real-world financial processes. This role requires analytical rigor, adaptability, and a passion for technological innovation within the banking industry.. This is a full-time opportunity suited for professionals with extensive experience in banking or financial services who are eager to apply their expertise to the development of next-generation AI systems.. Key Responsibilities. Use proprietary software to label, annotate, and evaluate AI-generated outputs related to financial services . Deliver curated, high-quality data for corporate banking, retail banking, loan management, and financial product development . Collaborate with technical and research teams to train and refine AI models for banking applications . Assist in designing and improving annotation tools and workflows tailored for financial datasets . Identify and analyze complex problems in banking domains to enhance AI model reasoning and performance . Apply sound judgment and maintain precision while adapting to evolving task instructions . Qualifications. Professional experience in banking, finance, or related fields (e.g., corporate or retail banking, loan processing, or financial product management) . Excellent written and verbal communication skills in English . Strong analytical, organizational, and problem-solving skills . Ability to work independently and interpret complex instructions with accuracy . Demonstrated interest in financial technology, AI, or digital innovation . Preferred Qualifications. Relevant certifications such as CFA, FRM, CBCA, CAMS, or CPA . Experience mentoring or training professionals in banking or finance . Familiarity with AI systems, data annotation workflows, or technical environments . Comfort recording short audio or video clips for model training datasets . More About the Opportunity. Remote or in-person (Palo Alto, CA); in-office requires 5 days/week . Initial schedule: 9:00am–5:30pm PST for two weeks; then your local timezone . Personal computer must be a Chromebook, Mac (macOS 11+), or Windows 10+ device . Reliable smartphone access required . U.S.-based applicants must reside outside of Wyoming and Illinois . Visa sponsorship not available . Compensation & Contract Terms. $45–100/hour for U.S.-based professionals, depending on experience and location . International pay rates available upon request . You’ll be classified as an independent contractor . Payments issued regularly for services rendered . Hourly pay is part of a broader rewards package; benefits vary by country . Application Process. Submit your resume to get started . Complete a 15-minute screening interview . If selected, proceed to: . A technical deep-dive on your financial expertise and data annotation experience . A take-home challenge involving banking or financial data labeling . A team meet-and-greet with project collaborators . The full interview process is designed to conclude within one week