ML Data Associate – Amazon (AGI Data Services)
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As an ML Data Associate at Amazon, I evaluated LLM-generated responses for accuracy, safety, and helpfulness. I contributed to designing and testing prompts for large language models and performed comprehensive annotation on multiple data types, including text, image, audio, and video. My work focused on training and improving Amazon’s internal large language model, NOVA.
• Applied structured SOP-based review guidelines to ensure quality and responsible AI outputs.
• Identified hallucinations, bias, and policy violations in AI responses.
• Supported dataset enhancement through rating, audit, and review processes.
• Engaged in prompt engineering and multimodal annotation to optimize model performance.
As an ML Data Associate at Amazon, I evaluated LLM-generated responses for accuracy, safety, and helpfulness. I contributed to designing and testing prompts for large language models and performed comprehensive annotation on multiple data types, including text, image, audio, and video. My work focused on training and improving Amazon’s internal large language model, NOVA. • Applied structured SOP-based review guidelines to ensure quality and responsible AI outputs. • Identified hallucinations, bias, and policy violations in AI responses. • Supported dataset enhancement through rating, audit, and review processes. • Engaged in prompt engineering and multimodal annotation to optimize model performance.
2024 - Present