English Voice Expert (US)

$30–65/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: Worldwide
Field: Languages

Review English audio clips for nativeness, fluency, pronunciation, intonation, and linguistic authenticity. Provide concise written judgments that help micro1 evaluate and improve AI language output.

Work

You will listen to English audio clips, assess speaker or model output against established guidelines, and document the linguistic evidence behind each rating. Reviews cover fluency, pronunciation, intonation, naturalness, and authenticity, with occasional coordination when a clip or guideline is ambiguous.

Screening focus

The platform is likely to test whether you can identify specific audio features, separate accent variation from genuine fluency or pronunciation issues, and support a rating with concise evidence. Expect follow-up questions about prior voice, linguistics, phonetics, audio engineering, transcription, assessment, media, communications, or teaching work.

Language and experience

The listing requires a native English speaker based in the United States, native-level proficiency in English with clear enunciation and natural fluency, and a minimum B2 level of English for written and verbal communication. A background in voice specialization, linguistics, phonetics, music/audio engineering, or a related field is preferred; audio analysis, transcription, or linguistic assessment experience is highly valued, while familiarity with media, communications, or teaching is considered an asset.

Logistics

This is a remote contractor role involving assigned audio review tasks and communication with project coordinators. The listing does not state whether work is fully asynchronous or specify typical weekly hours, so candidates should be ready to describe their actual availability and turnaround capacity.

Pay band: $30–65/hr

This is an observed band, not a guarantee of assignment volume or placement within the band.

What they look for

Voice Recording

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This checks whether your claimed background includes concrete work with spoken English, audio, or language judgment rather than only general interest in AI.
A strong answer: Name specific roles, projects, or coursework, including dates or duration, the kinds of recordings or speakers involved, and what you personally evaluated or produced. Distinguish paid work, academic work, and independent projects clearly.
Where people lose it: Candidates lose credibility by listing broad fields without explaining a single audio or language task they actually performed.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.