AI annotators and Search Engine Evaluator
AppenAudioEvaluation Rating
Executed high-precision audio transcription and phonetic labeling for large-scale AI training datasets, processing over hours of multilingual/conversational audio. Responsibilities included generating verbatim transcripts, performing speaker diarization (identifying individual speakers), and applying time-stamped metadata for background noise and emotional intent. Consistently maintained a 98% accuracy rate by adhering to complex linguistic guidelines, directly contributing to the improved speech recognition and Natural Language Understanding (NLU) capabilities of global voice assistants."
Executed high-precision audio transcription and phonetic labeling for large-scale AI training datasets, processing over hours of multilingual/conversational audio. Responsibilities included generating verbatim transcripts, performing speaker diarization (identifying individual speakers), and applying time-stamped metadata for background noise and emotional intent. Consistently maintained a 98% accuracy rate by adhering to complex linguistic guidelines, directly contributing to the improved speech recognition and Natural Language Understanding (NLU) capabilities of global voice assistants."
2023 - 2024