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Verita AI builds high-trust data pipelines that enable AI systems to understand real-world workflows across finance and operations. We work with domain experts to teach models how financial systems, research workflows, and market analysis function in practice. Our founding team includes alumni of Mercor, Hudson River Trading, Citadel, IDEO, Stanford, and Yale. We partner with world-class researchers and engineers at leading AI labs to advance the state of the art. Verita AI is a seed-stage company valued at $25 million, having raised $6 million led by Kindred Ventures.
About the Role
We are hiring experienced fixed income professionals to help train and evaluate next-generation AI systems on real-world trading workflows. You'll work directly with researchers to improve how AI models reason about bond pricing, trade execution, and risk — drawing on your day-to-day market experience to ensure outputs reflect institutional realism.
Position: Fixed Income Trading Expert
Type: Flexible, project-based
Compensation: $150–$180/hour
Location: Remote
Responsibilities
Evaluate and improve AI-generated outputs related to bond pricing, yield curves, and spread analysis
Design realistic trading scenarios and edge cases grounded in real-world market behavior
Review model reasoning on trade structuring, execution decisions, and risk management
Provide detailed, experience-based feedback on accuracy, market intuition, and institutional realism
Annotate datasets and create high-quality training examples for financial AI systems
Collaborate with researchers to refine model performance on trading workflows
Document financial reasoning and decision-making clearly
Requirements
3–10+ years in fixed income trading, sales & trading, or portfolio management
Day-to-day experience executing fixed income trades
Professional Bloomberg Terminal experience
Strong understanding of fixed income markets, pricing, and financial data
Strong written communication and analytical skills
High attention to detail
Willingness to provide candid, experience-based feedback on trading tools
Preferred
Experience with quant tools (Python, Excel modeling)