AI Training & Data Annotation
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Evaluated AI-generated responses for accuracy, relevance, and safety within natural language processing projects. Provided structured feedback on digital content and messaging quality according to project guidelines. Assisted in improving dataset quality through annotation and response ranking tasks. • Assessed AI outputs for hallucination and factual errors
• Annotated training datasets for NLP tasks
• Ranked multiple AI responses based on guidelines
• Cleaned and structured datasets for enhanced model performance
Evaluated AI-generated responses for accuracy, relevance, and safety within natural language processing projects. Provided structured feedback on digital content and messaging quality according to project guidelines. Assisted in improving dataset quality through annotation and response ranking tasks. • Assessed AI outputs for hallucination and factual errors • Annotated training datasets for NLP tasks • Ranked multiple AI responses based on guidelines • Cleaned and structured datasets for enhanced model performance
2022 - Present