AI Response Evaluation
RLHF-based response ranking and evaluation for a large language model, rating AI outputs on helpfulness, harmlessness, and factual accuracy across customer service and general knowledge prompts
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I am an emerging AI training data specialist with hands-on experience contributing to cutting-edge artificial intelligence projects. Over the past year, I have actively participated in two AI voice translation projects, where I performed precise audio annotation, linguistic labeling, and quality review of multilingual datasets to improve model accuracy across diverse accents and dialects. I also contributed to an AI response project, evaluating and refining model outputs to ensure they were coherent, contextually accurate, and aligned with human expectations. My work demonstrates a strong attention to detail, a deep commitment to data quality, and an ability to understand nuanced AI behavior, making me a reliable contributor to any data labeling or AI training initiative.
RLHF-based response ranking and evaluation for a large language model, rating AI outputs on helpfulness, harmlessness, and factual accuracy across customer service and general knowledge prompts
Annotated multilingual audio datasets, reviewed transcriptions, flagged alignment errors across accents and dialects.
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