Financial Sponsors - AI trainer
Required Skills
Job Description
Job Title: Financial Sponsors - AI trainer
Job Type: Full-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.