AI Trainer Jobs in Canada
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Evaluate large language models through RLHF-style ranking and scoring, prompt evaluation, data labeling, and quality assurance checks. Validate training data, document edge cases and systematic errors, and contribute to rubrics, calibration, gold sets, and regression testing to improve model performance.
