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AI & ML
Annotates and curates data that teaches AI models right from wrong
Reviews, labels and rates AI outputs to create the training signal that improves model behaviour - combining domain expertise with careful attention to nuance.
RLHF and supervised fine-tuning require vast amounts of high-quality human feedback — trainers provide it.