Data Annotation & Quality Assurance Assessor – LYNKSTE.CAI (Remote)
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I evaluated large language model (LLM) generated responses for accuracy, clarity, and alignment with prompt instructions as a Data Annotation & Quality Assurance Assessor. I applied structured taxonomies and labeling frameworks to categorize datasets used in AI training pipelines. Additionally, I provided detailed human feedback to improve model outputs and conducted quality assurance reviews of peer annotations.
• Performed structured evaluation of LLM outputs.
• Applied annotation taxonomies for dataset labeling in AI training.
• Delivered feedback and quality assessments to enhance model performance.
• Ensured dataset reliability through peer review and consistency checks.
I evaluated large language model (LLM) generated responses for accuracy, clarity, and alignment with prompt instructions as a Data Annotation & Quality Assurance Assessor. I applied structured taxonomies and labeling frameworks to categorize datasets used in AI training pipelines. Additionally, I provided detailed human feedback to improve model outputs and conducted quality assurance reviews of peer annotations. • Performed structured evaluation of LLM outputs. • Applied annotation taxonomies for dataset labeling in AI training. • Delivered feedback and quality assessments to enhance model performance. • Ensured dataset reliability through peer review and consistency checks.
2024 - 2024