AI Finance Tutor - Corporate Banking

We are seeking a skilled AI Banking Data Specialist to enhance xAI’s AI models by providing high-quality data annotations and inputs tailored to banking contexts. In this role, you will leverage your expertise in corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings to support the training of AI systems. You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world banking dynamics. This role requires adaptability, strong analytical skills, and a passion for driving innovation in a fast-paced environment.

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Responsibilities

• Utilize proprietary software to provide accurate input and labels for banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving corporate banking operations, retail banking services, loan processing, customer account management, and financial product offerings.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for banking data.
• Select and analyze complex problems in banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

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Required Qualifications

• Professional experience in banking or related fields (e.g., corporate banking, retail banking, or roles involving loan processing, customer account management, or financial product offerings).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organizational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in banking.

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Preferred Qualifications

• Relevant certification or training (e.g., Chartered Financial Analyst (CFA), Commercial Banking & Credit Analyst (CBCA), Financial Risk Manager (FRM), anti-money laundering certifications such as CAMS, or accounting certifications such as CPA).
• Experience mentoring or training others in banking or financial services practices.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.