Data Annotation Specialist
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In this role, I trained and evaluated AI models by creating, reviewing, and refining high-quality datasets designed to improve both the accuracy and the overall performance of the models. I assessed and rated AI-generated responses for quality, relevance, and safety, ensuring that outputs met rigorous standards. My work directly contributed to the iterative improvement of the underlying AI systems through detailed feedback and by identifying risks and inconsistencies.
• Created and curated datasets to support AI training.
• Provided comprehensive feedback to enhance model reliability.
• Identified model weaknesses, biases, and inconsistencies.
• Collaborated with other annotators to refine evaluation criteria.
In this role, I trained and evaluated AI models by creating, reviewing, and refining high-quality datasets designed to improve both the accuracy and the overall performance of the models. I assessed and rated AI-generated responses for quality, relevance, and safety, ensuring that outputs met rigorous standards. My work directly contributed to the iterative improvement of the underlying AI systems through detailed feedback and by identifying risks and inconsistencies. • Created and curated datasets to support AI training. • Provided comprehensive feedback to enhance model reliability. • Identified model weaknesses, biases, and inconsistencies. • Collaborated with other annotators to refine evaluation criteria.
2025 - 2025