Fixed Income & Credit - AI trainer

Full Description

Job Title: Fixed Income & Credit - AI trainer

Job Type: Part-time

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

Job Summary

Join our customer’s team as a Fixed Income & Credit - AI trainer and play a key role in advancing artificial intelligence for real-world finance applications.

You will work on a broad, messy data seeding project, leveraging your understanding of fixed income and credit to enhancemodel performance with in-the-wild finance artifacts.

Key Responsibilities

• Seed AI models with diverse, unstructured finance data, including real-world spreadsheets and ambiguous inputs.

• Collaborate with finance-adjacent contributors to collect and curate data for training.

• Evaluate and normalize partial models and documentation, iteratively enhancing data structure.

• Guide the structuring of messy data flows, allowing for initial seeding and deferred organization.

• Engage with written and verbal communication to document process and share insights across the team.

• Test and review AI outputs for relevance and accuracy within fixed income and credit domains.

• Support model improvement by reconstructing or extending incomplete or ambiguous financial artifacts.

Required Skills and Qualifications

• Strong expertise in fixed income and credit markets, with hands-on experience in finance or financial data analysis.

• Solid understanding of AI fundamentals and training concepts, especially as applied to messy, real-world data.

• Outstanding written and verbal communication skills, with the ability to explain complex topics clearly.

• Comfort working with partial information, ambiguous inputs, and evolving project guidelines.

• Experience handling large, unstructured datasets and converting them into usable formats for AI training.

• Collaborative mindset with a proactive approach to knowledge sharing and team engagement.

• Located in or able to work effectively with teams in the US, Canada, UK, or EU time zones.

Preferred Qualifications

• Prior involvement in AI or machine learning projects within financial services or fintech.

• Experience with data seeding, annotation, or training of language models in a finance context.

• Familiarity with the nuances of broad, ambiguous project scopes and iterative workflow design.