Audio QA Lead - Part Time Contractor

Responsibilities

• Develop, refine, and apply audio quality guidelines for speech and voice datasets.
• Review audio files against technical, linguistic, and task-specific standards, making clear approval, rejection, or revision decisions.
• Identify audio and annotation issues such as background noise, clipping, distortion, plosives, echo, low signal, segmentation errors, transcript mismatches, and speaker-label inconsistencies.
• Perform annotation and QA tasks, including transcription, timestamp validation, VAD/segmentation, diarization, pronunciation checks, and metadata review.
• Record speech based on provided scripts and performance guidelines, delivering natural, high-quality, specification-compliant audio.
• Document edge cases, update review rubrics, and improve internal SOPs and quality standards.
• Collaborate with research, ML, and operations teams to translate model requirements into data specifications and evaluation criteria.
• Ensure consistency and integrity across audio files, transcripts, annotations, and associated metadata.

Requirements

• Direct experience working with audio AI training datasets or evaluation workflows.
• Hands-on experience with TTS, ASR, transcription, speech-to-speech, or related voice AI systems.
• Experience developing or applying audio quality standards in production environments.
• Experience with speech annotation tasks such as transcription, timestamp QA, VAD/segmentation, and diarization.
• Strong auditory judgment with the ability to consistently identify subtle audio quality issues.
• Ability to produce high-quality recordings in a controlled, quiet environment using professional or near-professional equipment.
• Strong written communication skills with the ability to provide clear, actionable feedback.
• High attention to detail and sound judgment when evaluating edge cases.
• Comfort working with structured data formats such as spreadsheets, CSV, or JSON.
• Experience with audio tools such as Audacity, Praat, or similar.
• Basic scripting skills in Python, Bash, or SQL for QA or dataset analysis.
• Background in linguistics, phonetics, speech research, or voiceover work.
• Experience evaluating both real and synthetic audio.
• Multilingual experience or familiarity with accents and dialect variation.
• Familiarity with compliant handling of consented and licensed voice data.

Qualifications

• The role can turn into full-time role.

Skills

• Strong auditory judgment and ability to identify audio quality issues.
• Experience with audio annotation and QA tasks.
• Proficiency in audio processing tools and scripting languages.
• Understanding of speech data and its impact on model training.
• Experience with TTS, ASR, transcription, speech-to-speech, or related voice AI systems.
• Knowledge of audio quality standards and their application.
• Experience with speech annotation tasks such as transcription, timestamp validation, VAD/segmentation, diarization, and pronunciation checks.
• Strong written communication skills.
• Attention to detail and sound judgment in evaluating edge cases.
• Experience with structured data formats and basic scripting skills.
• Background in linguistics, phonetics, speech research, or voiceover work.
• Experience evaluating both real and synthetic audio.
• Multilingual experience or familiarity with accents and dialect variation.
• Familiarity with compliant handling of consented and licensed voice data.

Benefits

• Close collaboration with the founders and users.
• Tight feedback loops from production back to evaluation.
• Ownership of evaluation as an engineering discipline.
• Continuous improvement through real “fail-to-ship” tests tied to business and safety goals.

Pay

• $25 - $45 / hourly

Schedule

• Part-time contractor role