AI Quality Engineer: Data Labeling & Model Evaluation

Crossing Hurdles is seeking a QA-focused AI test specialist to design, execute, and document test cases validating AI outputs against requirements. You will review datasets, annotate data, and report findings to improve model accuracy.

You will collaborate with cross-functional teams, refine testing methodologies for AI-driven systems, and maintain thorough records to support data quality and ongoing model performance optimization.