Project Finance - AI trainer

Job Title: Project Finance - AI trainer

Job Type: Full-time

Location: Remote

Job Summary:

Join our customer's team as a Project Finance - AI trainer to help shape the future of financial data intelligence. In this role, you will empower leading-edge AI initiatives by training robust models using real-world financial artifacts, guiding data structuring, and developing better understanding of complex, ambiguous data sets. Collaborate with experts across finance-adjacent domains and drive impactful results within a flexible, remote setting.

Key Responsibilities:

• Seed and curate diverse, messy real-world financial data for AI model training.
• Evaluate and interpret spreadsheets, partial models, and ambiguous inputs to improve AI comprehension.
• Guide the model in reconstructing, normalizing, and extending finance artifacts under minimal initial structure.
• Provide clear written and verbal feedback to enhance model accuracy and performance.
• Collaborate with a cross-functional team to adapt training approaches in a dynamic project environment.
• Identify gaps in AI understanding and propose targeted seeding strategies.
• Maintain meticulous documentation throughout all stages of the data curation and AI training process.

Required Skills and Qualifications:

• Strong background in project finance or related financial domains.
• Excellent written and verbal communication skills, with meticulous attention to detail.
• Experience working with complex, unstructured or messy financial data in spreadsheets and reports.
• Familiarity with AI model training concepts and data annotation/curation best practices.
• Ability to work independently and collaboratively in a fast-paced, remote environment.
• Creative problem-solving skills in navigating ambiguous information and incomplete datasets.
• Comfort with iterative data structuring, seeding projects, and flexible requirements.

Preferred Qualifications:

• Experience contributing to finance-adjacent AI or machine learning projects.
• Exposure to seeding, reconstructing, or normalizing in-the-wild financial artifacts.
• Based in US, Canada, UK, or EU to collaborate effectively with geographically distributed teams.