Mandarin Audio Recording Expert

$20–40/hrrate as listed

micro1 is contracting native Mandarin speakers with professional recording experience to produce studio-quality audio for an AI speech dataset. You supply your own microphone, interface, and treated recording space, and deliver clean takes against detailed script and quality specifications.

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

What the work involves

You record Mandarin audio to spec — scripted prompts, spontaneous speech, varied tones and registers — and submit files that pass technical QC on the first or second pass. Sessions are self-scheduled: you receive scripts and a recording brief, set up your space, capture takes, do light editing (trimming, level checks, removing breaths or clicks where the guidelines allow), and upload with the required naming and metadata conventions. Expect feedback loops where a reviewer flags room tone, sibilance, clipping, plosives, inconsistent distance from the mic, or pronunciation that drifts from the target variety, and you re-record affected segments.

Because the output feeds AI model training, consistency matters more than performance flair. The dataset needs predictable, repeatable audio characteristics across hundreds of files, plus the vocal diversity the brief calls for. Recordkeeping is part of the job: tracking what was delivered, what was revised, and what remains outstanding.

What the platform screens for

Native-level Mandarin. Expect to read aloud during the screen. Regional variety, tone accuracy, and articulation are assessed directly.
Real recording experience. Roughly three years in studio work, voice-over, narration, dubbing, or audiobook production. Be ready to name the projects and the signal chain you used.
Your gear, live. The listing is explicit: bring your professional audio equipment to the interview. Assume you will be asked to demonstrate your setup and possibly submit a sample recorded on the spot.
Room and noise discipline. Interviewers probe how you handle HVAC hum, street noise, and reflective surfaces, not just what microphone you own.

Logistics

Remote and contractor-based, largely asynchronous once onboarded. Observed pay for this listing runs $20–40/hr, with placement in that band typically tracking recording credentials and equipment quality — as stated by the platform, not guaranteed. Volume is project-driven and can be uneven; treat it as supplementary rather than full-time unless the project brief says otherwise. No prior AI experience is expected.

What they look for

Audio recording

Before you apply

Would you pass this screen?

Drawn from what this listing actually requires. Answered in your browser — nothing is sent to us, and we do not store your answers.

Are you a native speaker of Mandarin Chinese, or did you acquire native-level fluency before age 12?
Native Mandarin speaker · required
Do you have at least 3 years of professional experience in audio recording (studio, voice-over, narration, podcast production, or equivalent)?
Professional audio recording experience · required
Do you currently have access to professional-grade audio recording equipment (e.g., a quality condenser microphone, audio interface, and editing software) that you can use for this project?
Professional audio equipment access · required
Can you confirm that your microphone and audio interface are in working order and ready to use immediately?
Working microphone and interface · preferred
Have you previously participated in a project involving AI training data collection, speech corpora, or linguistic resource creation?
Prior AI or linguistic data experience · preferred

0 of 5 answered

Included with this listing

Interview prep — 25 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: Assesses whether candidate has genuine hands-on studio experience and can articulate the technical decisions that produce broadcast-quality recordings, not just claim three years in the field.
A strong answer: The candidate names a specific project (corporate narration, voice-over work, podcast production, etc.), identifies the recording chain (microphone model, preamp, DAW), describes a concrete quality standard they met (SNR floor, frequency response, peak levels), and explains a technical problem they solved (room treatment, mic placement, post-production fix).
Where people lose it: Candidate gives vague timeline ('I've done lots of recordings') without naming equipment, software, or a measurable quality metric—leaving the screener unable to assess whether they understand professional audio standards or have just made hobby recordings.