Our client is seeking Python contractors to support an AI-enabled insurance data project. The role will focus on converting submission data-extraction logic into repeatable Python-based “recipes” for different treaty and transaction cases. A recipe is a deterministic Python
Key Responsibilities Design and ship the official skills spanning our 14-domain taxonomy (Leverage, Assets, Portfolio, Pulse, Plays, Risk, etc.) — covering market analysis, on-chain liquidity, identity resolution, derivatives, and DeFi primitives. Define publishing standards, SDK ergonomics,
Compare source documents with structured outputs. Support business UAT and end-to-end case testing. Review Submission Facts templates and Shopping List fields. Record defects, business-logic gaps, and user feedback. Support pass/fail assessment and test-evidence preparation. Provide clear
Cognizant is seeking a detail-oriented reviewer to compare source evidence with structured outputs and to support UAT and end-to-end testing. You will review Submission Facts templates and Shopping List fields, record defects, and provide actionable feedback
Key responsibilities Compare source documents with structured outputs. Support business UAT and end-to-end case testing. Review Submission Facts templates and Shopping List fields. Record defects, business-logic gaps, and user feedback. Support pass/fail assessment and test-evidence preparation.
Key Responsibilities Compare source documents with structured outputs. Support business UAT and end-to-end case testing. Review Submission Facts templates and Shopping List fields. Record defects, business-logic gaps, and user feedback. Support pass/fail assessment and test-evidence preparation.