Required Skills and Qualifications

1. Demonstrated experience in credit analysis, risk assessment, or a related financial field.
   
2. Exceptional written and verbal communication skills, with a strong emphasis on clarity and detail.
   
3. Proficiency in interpreting financial statements and complex credit information.
   
4. Strong critical thinking and analytical problem-solving abilities.
   
5. High level of accuracy and attention to detail in data analysis and documentation.
   
6. Adept at remote collaboration and self-motivation in a virtual work setting.
   
7. Comfortable working with technology and adapting to new tools quickly.
   

Preferred Qualifications

1. Experience participating in AI training, annotation, or data validation projects.
   
2. Background in financial modeling or quantitative analytics.
   
3. Familiarity with regulatory standards in credit or financial risk management
   

1. Evaluate, review, and interpret credit data and financial statements to assist in AI model training.
   
2. Generate accurate, insightful assessments of creditworthiness based on provided datasets and scenarios.
   
3. Document credit analysis findings in clear, concise written formats for AI training purposes.
   
4. Collaborate with cross-functional teams to ensure relevance and accuracy of AI training materials.
   
5. Identify risks, trends, and inconsistencies in financial data and communicate these effectively.
   
6. Provide feedback on AI models’ analysis, suggesting improvements based on domain expertise.
   
7. Contribute to the development and refinement of training materials and evaluation standards.