AI QA Engineer: Data Labeling & Model Evaluation
Summary
QA-focused professional at Crossing Hurdles who designs, executes, and documents AI testing: annotating data, assessing model predictions, and coordinating with teams to improve data quality and model performance. Requires hands-on QA experience with data labeling/RLHF and strong English communication.
Crossing Hurdles is seeking a QA-focused professional to design, execute, and document AI testing, ensuring outputs meet defined requirements. You will annotate data, assess model predictions, and collaborate across teams to drive continuous improvement in data quality and model performance.
Ideal candidates will have hands-on QA experience with data labeling and RLHF or model evaluation, and demonstrate strong English communication for reporting and coordination.