Key Skills

Software

No software listed

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Top Label Types

Audio Recording

Freelancer Overview

With over 25 years of experience in audio post-production, I specialize in the detailed analysis, annotation, and quality assurance of speech and audio content across film, television, podcasts, and digital media. My work has centered on dialog editing, transcription correction, and rigorous audio quality evaluation—skills directly applicable to data labeling and AI training workflows. I am highly proficient in identifying errors, artifacts, and inconsistencies in real-world, imperfect audio, and excel at applying structured guidelines to ensure accuracy and consistency. Using tools like Avid Pro Tools in both Mac and PC environments, I have managed high-volume, repetitive review tasks with exceptional attention to detail and reliability. My background includes projects such as dialog editing for film and television, ADR alignment, voice-over evaluation, and podcast speech review, all of which have honed my ability to deliver high-quality, annotated data for AI and machine learning applications. While I have not previously worked on AI annotation projects through formal labeling platforms, my professional background includes extensive hands-on experience performing equivalent data evaluation and quality control tasks. For over 25 years, I have worked in audio post-production performing detailed dialog and speech analysis, transcription correction, and quality review for film, television, podcasts, voice-over, and digital media projects. My work has regularly involved evaluating speech for accuracy, clarity, timing, tone, and intent; correcting transcription and dialog errors; identifying noise, artifacts, and inconsistencies; and applying consistent technical guidelines across large volumes of audio data. I have also performed ADR alignment, voice performance validation, and structured review of spoken content under strict delivery and quality requirements. These responsibilities closely align with AI data labeling, audio QA, transcription review, and speech evaluation workflows, and I am comfortable following annotation guidelines, maintaining consistency, and performing repetitive, detail-oriented review tasks in a remote environment.

Labeling Experience

Education

Work History