Financial Sponsors Expert

Job Title: Financial Sponsors - AI trainer

Job Type: Full-time or Part-time

Location: Remote (US, Canada, UK, EU)

Job Summary:

Join our customer’s team as a Financial Sponsors - AI trainer and play a pivotal role in shaping advanced AI models to better understand the nuances of real-world finance. You’ll work with diverse, messy datasets, ambiguous financial artifacts, and partial spreadsheets to enhance our AI’s ability to process and interpret complex data.

Key Responsibilities:

• Seed AI models with finance-related data from “in-the-wild” sources, including incomplete spreadsheets and ambiguous documentation.

• Curate and structure messy, broad financial datasets to facilitate robust model training.

• Collaborate with finance-adjacent contributors to gather, analyze, and normalize diverse financial artifacts.

• Provide written and verbal feedback to guide model development and improve comprehension of nuanced sponsor scenarios.

• Participate in iterative data seeding and structuring flows, working flexibly between unstructured prompts and structured tasks.

• Evaluate how AI models interpret, reconstruct, and extend partially complete finance documents.

• Leverage hands-on experience with ambiguous or incomplete data to inform AI training strategies.

Required Skills and Qualifications:

• Strong written and verbal communication skills, with an ability to articulate complex finance concepts.

• Proven experience working with financial data, spreadsheets, or related real-world finance artifacts.

• Comfort navigating and organizing broad, messy, or incomplete datasets.

• Familiarity with finance-adjacent workflows and terminology.

• Analytical mindset; able to assess ambiguity and provide constructive feedback.

• Ability to work both independently and collaboratively in remote, cross-functional teams.

• Eligibility to work remotely from the US, Canada, UK, or EU.

Preferred Qualifications:

• Prior involvement in AI training, data labeling, or annotation projects.

• Experience working on projects with minimal direction, especially those requiring data normalization and structure-building.

• Exposure to financial sponsors, investment, or deal flow environments.