AI Training Specialist | Freelance / Remote (2022 – Present)
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RLHFProvided high-quality data annotation, preference ranking, and human feedback for large-scale AI model training projects across multiple domains. Performed human feedback collection and comparative evaluation to improve model behavior and response quality. Engaged with generative AI outputs to identify gaps and improve safety and relevance alignment during training and iteration.•Annotated or labeled training data with human feedback signals and preference judgments for downstream model learning.•Ranked candidate responses and supplied feedback on quality, consistency, and edge cases.•Collaborated with AI development teams to flag quality gaps, inconsistencies, and failure modes.•Used prompt and response iteration to support evaluation and alignment objectives across multiple AI systems.