Negotiable
Undetermined
Remote
United Kingdom
Summary: The Debt Capital Markets – AI Trainer role is a part-time contract position focused on annotating and reviewing datasets related to debt capital markets. The position requires collaboration with AI teams to enhance model training using real-world finance artifacts and involves developing strategies for complex data scenarios. Candidates must possess strong analytical skills and a deep understanding of finance data and market instruments.
Key Responsibilities:
- Annotate, seed, and review debt capital markets datasets, including messy and ambiguous inputs.
- Collaborate with AI teams to train models on real-world finance artifacts.
- Develop data seeding strategies for learning from complex spreadsheet scenarios.
- Support iterative workflows where structure is introduced after initial seeding.
- Provide high-quality written and verbal feedback on model outputs.
- Reconstruct, extend, or standardize financial models as part of training processes.
- Apply finance-adjacent expertise to enhance AI relevance in market use cases.
Key Skills:
- Deep familiarity with debt capital markets, finance data, and market instruments.
- Experience working with spreadsheets or unstructured finance datasets.
- Exceptional written and verbal communication skills.
- Strong analytical skills and attention to detail.
- Comfort operating in ambiguous, evolving project environments.
- Ability to collaborate remotely across distributed teams.
- Self-motivated approach to independent, data-heavy work.
Salary (Rate): £200.00/hr
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: Debt Capital Markets – AI Trainer
Type: Part-time contract
Compensation: $ 100-$200/hr
Location: Remote
Commitment: Part-time
Role Responsibilities
- Annotate, seed, and review debt capital markets datasets, including messy and ambiguous inputs.
- Collaborate with AI teams to train models on real-world finance artifacts.
- Develop data seeding strategies for learning from complex spreadsheet scenarios.
- Support iterative workflows where structure is introduced after initial seeding.
- Provide high-quality written and verbal feedback on model outputs.
- Reconstruct, extend, or standardize financial models as part of training processes.
- Apply finance-adjacent expertise to enhance AI relevance in market use cases.
Requirements
- Deep familiarity with debt capital markets, finance data, and market instruments.
- Experience working with spreadsheets or unstructured finance datasets.
- Exceptional written and verbal communication skills.
- Strong analytical skills and attention to detail.
- Comfort operating in ambiguous, evolving project environments.
- Ability to collaborate remotely across distributed teams.
- Self-motivated approach to independent, data-heavy work.
Application Process (Takes 20 Min)
- Upload resume
- Interview (15 min)
- Submit form