Audio Data Annotation
Listen to the audio recording compare to the transcribed sentence. Then I had to determine the sexof the speaker, age, voice characteristics, tone, flow, delivery, tempo.
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I am an experienced AI project support specialist with a strong background in data labeling, annotation, and evaluation across a variety of domains, including speech, audio, text, and social media content. My work with leading organizations such as Appen, DataForce by TransPerfect, and Telus International has given me hands-on expertise in audio data collection, speech annotation, LLM response evaluation, document verification, and synthetic speech assessment. I am highly detail-oriented, organized, and adept at problem-solving, which allows me to consistently deliver high-quality training data for AI systems. My commitment to responsible AI practices is demonstrated through my completion of Google Cloud and Coursera courses focused on generative AI, large language models, and ethical AI development.
Listen to the audio recording compare to the transcribed sentence. Then I had to determine the sexof the speaker, age, voice characteristics, tone, flow, delivery, tempo.
Between two LLM responses determining out of the two which one was more Truthful, Effective and Harmless.
No Degree, Accounting and Business Management
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