AI Data Trainer & Annotation Specialist | Freelance / Upwork
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Audio
RLHF
AudioRLHFYou annotated and quality-reviewed 100,000+ data points across text, audio, and image datasets for ML model training. You evaluated LLM responses as part of RLHF pipelines, providing structured feedback to align model outputs with human preferences. You engineered and refined prompts for ChatGPT and similar AI systems to improve relevance and output accuracy for end-user applications.• Conducted NLP labeling such as sentiment analysis, intent classification, and named entity recognition (NER)• Performed RLHF evaluation cycles for large language models (LLMs)• Maintained ~98% QA accuracy across large-scale annotation efforts• Developed and optimized prompt sets to enhance response quality and alignment
2020 - Present
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