Audio Transcription Specialist Needed

Hiring: Audio Transcription Specialist – AI/Data Annotation (Ermis Protocol)We are seeking a detail-oriented Audio Transcription Specialist to transcribe audio files for training and evaluating speech-to-text and AI voice models. This role requires strict adherence to precise formatting, spoken-form text normalization, and acoustic tagging rules. Key ResponsibilitiesSpoken-Form Transcription: Convert spoken human audio into strict spoken-form text (all lowercase, no standard sentence punctuation, numbers spelled out as words). Exact Acoustic Mapping: Capture all spoken content verbatim—including fillers, backchannels, repeated words, truncations, and non-speech sounds—without correcting grammar or omitting sounds. Acoustic & Speaker Tagging: Accurately apply standardized tags for background speech ([bg]), non-lexical vocal sounds ([hn], [laughter]), audio artifacts ([artifact]), filled pauses ([fp]), multi-speaker overlaps (, ), and audio issues (, , , ). Metadata & Descriptors: Identify and assign speaker count, gender sound profile (masculine, feminine, unknown), and English nativity (native, non-native, unknown, TTS). Research & Dictionary Compliance: Verify proper nouns, catalog entities (songs, brands, media), and standard spellings using assigned reference hierarchies (Merriam-Webster, American Heritage, Amazon, IMDb). Qualifications & RequirementsRequirementDetailsLanguageNative or professional fluency in English with strong listening comprehension across various regional accents and audio qualities. Attention to DetailAbility to strictly follow rigid guidelines without "cleaning up" spoken grammar or adding unsaid text. Tool RulesStrict prohibition on using Automatic Speech Recognition (ASR) or auto-transcription software. Research SkillsProficient in searching and verifying entity spellings (brands, artists, titles) using online references.