AI Training Data Validator (part-time)

Summary Ongoing role validating the accuracy and consistency of labeled training data produced by annotation teams. Responsibilities - Review 200+ labeled data points daily for accuracy - Check label consistency against annotation guidelines - Calculate and report inter-annotator agreement scores - Identify systematic labeling errors and retrain annotators - Maintain quality metrics dashboard Requirements - Data annotation or QA experience - Statistical understanding for agreement metrics - Detail-oriented and systematic approach Schedule & Details - Type: Remote / Part-time / Ongoing How to Apply Apply with your data quality assurance experience.

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