Besimple AI

1 month ago

Audio QA Lead - Part Time Contractor

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Audio QA Lead for voice AI data: develop and apply audio quality standards, record high-quality speech on demand, and perform annotation and QA across speech datasets. Collaborate with ML, research, and operations to translate model requirements into data specs, ensuring consistency and integrity of audio, transcripts, and metadata. Part-time contractor role that can become full-time, based in the Bay Area with remote US option.

Location: San Mateo

Workplace: Hybrid

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key 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.

Pay and Benefits

Salary: USD 25 - 45 hourly

Key Requirements

•Direct experience working with audio AI 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.
•Ability to produce high-quality recordings in a controlled, quiet environment using professional or near-professional equipment.

Experience:Voice AISpeech datasetsAudio quality standards

Skills:CommunicationAttention to detail

Tech Stack:AudacityPraatPythonBashSQLCSVJSON

Eligibility

Visa:US citizen/visa only

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Besimple AI

Besimple AI provides an AI-powered platform that helps businesses build conversational agents, automations, and knowledge bases using large language models to streamline customer interactions and internal workflows, improving productivity and response accuracy.

Industry: AI & Machine Learning

Website

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Besimple AI

1 month ago

Audio QA Lead - Part Time Contractor

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: San Mateo

Workplace: Hybrid

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key 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.

Pay and Benefits

Salary: USD 25 - 45 hourly

Key Requirements

•Direct experience working with audio AI 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.
•Ability to produce high-quality recordings in a controlled, quiet environment using professional or near-professional equipment.

Experience:Voice AISpeech datasetsAudio quality standards

Skills:CommunicationAttention to detail

Tech Stack:AudacityPraatPythonBashSQLCSVJSON

Eligibility

Visa:US citizen/visa only

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Besimple AI

Industry: AI & Machine Learning

Website