Structured Finance - AI trainer

Job Title: Structured Finance - AI trainer

Job Type: Part-time

Location: Remote

Job Summary:

Join our customer's team as a Structured Finance - AI trainer and play a pivotal role in shaping next-generation AI models for the finance sector. You'll leverage your expertise to guide AI training projects that involve broad, messy data seeding and complex, real-world financial artifacts. This is an exciting opportunity to impact how AI understands and processes intricate structured finance data.

Key Responsibilities:

• Seed and curate diverse finance datasets, including messy spreadsheets, partial models, and ambiguous financial inputs.
• Collaborate closely with the AI team to design and refine training flows, adapting structure based on project needs.
• Provide expert feedback on the normalization and reconstruction of in-the-wild financial artifacts by AI models.
• Contribute to the development of effective data labeling strategies and guidelines for structured finance projects.
• Engage with other finance-adjacent contributors to ensure data quality and relevance.
• Communicate clearly and effectively in both written and verbal formats within a remote, geographically dispersed team (US, Canada, UK, EU).
• Champion best practices in the seeding and structuring process for AI training data.

Required Skills and Qualifications:

• Proven experience in structured finance or a closely related financial field.
• Ability to work with messy, incomplete, or ambiguous real-world data sets and financial models.
• Strong written and verbal communication skills, with a keen attention to clarity and detail.
• Familiarity with data seeding, labeling, and annotation processes in AI or data science projects.
• Comfortable working with spreadsheets and financial artifacts in various formats.
• Self-motivated, adaptable, and able to thrive in dynamic and sometimes unstructured environments.
• Experience collaborating with remote teams across multiple geographies.

Preferred Qualifications:

• Prior experience contributing to AI training or machine learning projects in the finance domain.
• Background in finance data engineering or financial modeling.
• Exposure to the challenges of broad/messy data seeding and iterative structure building for AI.