AI Training Specialist – Data Annotation & Evaluation
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Evaluated AI-generated responses for accuracy, clarity, and relevance as part of LLM training improvement projects. Annotated and reviewed text datasets to detect errors, hallucinations, and logical inconsistencies in model outputs. Applied multilingual skills to assess and improve AI response quality in English, Arabic, and German. Maintained quality control by adhering to detailed annotation guidelines.
• Scored and ranked LLM outputs based on structured criteria.
• Conducted prompt optimization and rewriting to enhance model utility.
• Performed systematic evaluations to ensure factual correctness.
• Focused on improving translation accuracy and semantic clarity.
Evaluated AI-generated responses for accuracy, clarity, and relevance as part of LLM training improvement projects. Annotated and reviewed text datasets to detect errors, hallucinations, and logical inconsistencies in model outputs. Applied multilingual skills to assess and improve AI response quality in English, Arabic, and German. Maintained quality control by adhering to detailed annotation guidelines. • Scored and ranked LLM outputs based on structured criteria. • Conducted prompt optimization and rewriting to enhance model utility. • Performed systematic evaluations to ensure factual correctness. • Focused on improving translation accuracy and semantic clarity.
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