# Audio QA Lead - Part Time Contractor

**Company:** [Besimple AI](https://zerogtalent.com/ai-companies/besimple-ai)
**Location:** San Mateo, CA, US / Remote (US)
**Work mode:** Hybrid
**Seniority:** Entry
**Employment type:** Contract
**Salary:** USD 25–45/hr
**Category:** Business & Finance
**Listed:** 2026-06-17

[View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/besimple-ai/audio-qa-lead-part-time-contractor-96880)

## Job description

### About the role

We are hiring an Audio QA Lead to support the development of high-quality training datasets for next-generation voice AI models.

In this role, you will work hands-on to improve the quality, consistency, and usability of speech datasets across applications such as text-to-speech, transcription, speech-to-speech, ASR, and conversational voice systems. Your work will directly influence how data is collected, reviewed, and delivered for real-world model training.

You will work across three core areas: defining and applying audio quality standards, recording high-quality speech on demand, and performing annotation and QA across speech datasets. This is not a generic audio production role. The work focuses on making audio usable for model training and requires a strong understanding of how data quality impacts model.

**This is a part-time contractor role that can turn into full-time role.**

### What you'll do

-   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.

### Who we're looking for

The ideal candidate has direct experience working with audio AI datasets and understands what makes speech data effective for model training. You have a strong ear for audio quality, are comfortable applying annotation standards, and can consistently produce and evaluate high-quality recordings.

-   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.

### Bonus qualifications

-   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.

## Other open roles at Besimple AI

- [Linguist - Speech & Conversational AI](https://zerogtalent.com/ai-jobs/besimple-ai/linguist-speech-conversational-ai-116900) — San Mateo, CA, US / Remote (US)
- [RL Environment Engineer (Full-time, Part-time, or Contract)](https://zerogtalent.com/ai-jobs/besimple-ai/rl-environment-engineer-full-time-part-time-or-contract-116834) — San Mateo, CA, US / Remote (US)
- [Community Growth Manager, Contributor Acquisition](https://zerogtalent.com/ai-jobs/besimple-ai/community-growth-manager-contributor-acquisition-110630) — San Mateo, CA, US / Remote (US)
- [Strategic Projects Lead — Audio Data](https://zerogtalent.com/ai-jobs/besimple-ai/strategic-projects-lead-audio-data-97432) — San Mateo, CA, US

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