LLM Response Evaluation & Speech-to-Text Auditing
Auditing AI-generated transcriptions for pedagogical accuracy and evaluating model responses in a language-learning context. Focused on linguistic nuances and semantic correctness.
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I am a Data Quality and AI Training Specialist focused on enhancing Large Language Models (LLMs) and ensuring data integrity within complex ecosystems. My experience includes executing high-precision image and text annotation projects for international platforms with a consistent 98%+ accuracy rate. I specialize in semantic and sentiment analysis, evaluating LLM outputs for coherence, safety, and factual correctness, while managing workflows across platforms such as UHRS, Toloka, and uTest. Beyond general annotation, I have a professional background in auditing AI-powered speech-to-text transcriptions and managing high-volume CRM datasets in HubSpot and Creatio. My expertise in handling sensitive data and adhering to strict quality guidelines ensures the highest standards of information integrity. As a native Polish speaker with C1/C2 English proficiency, I bring specialized skills in semantic validation and cultural nuances to high-impact remote projects.
Auditing AI-generated transcriptions for pedagogical accuracy and evaluating model responses in a language-learning context. Focused on linguistic nuances and semantic correctness.
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High-precision annotation of sensitive medical documentation, focusing on Named Entity Recognition (NER) and verifying information integrity for legal compliance.
High School Diploma, Bilingual Program: Natural Sciences & English
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