AI Training & Data Annotation Specialist
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Evaluated AI-generated outputs for accuracy, relevance, and safety using established guidelines. Labeled and reviewed text data to improve machine learning model performance. Identified hallucinations, bias, and logical errors in AI content as part of the annotation process.
• Provided structured human feedback for refining AI models.
• Applied psychological principles to assess clarity, ethical risk, and user impact.
• Worked in remote, structured environment with high attention to detail.
• Contributed to data annotation and classification for AI training purposes.
Evaluated AI-generated outputs for accuracy, relevance, and safety using established guidelines. Labeled and reviewed text data to improve machine learning model performance. Identified hallucinations, bias, and logical errors in AI content as part of the annotation process. • Provided structured human feedback for refining AI models. • Applied psychological principles to assess clarity, ethical risk, and user impact. • Worked in remote, structured environment with high attention to detail. • Contributed to data annotation and classification for AI training purposes.
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