AlignerrVoice & audio
Korean Voice AI Evaluator (Remote, Flexible)
up to $40/hr
About this role, in Alignerr's words
What if your voice could help teach AI how to handle a real phone call to a hospital or clinic? We're looking for native Korean speakers in Sydney to hold natural spoken conversations with an AI healthcare receptionist, then evaluate how well it listens, responds, and takes action.
What you'll do
- Hold 4 to 5 minute spoken conversations in Korean with an AI front desk assistant, playing a fictional patient
- Say natural trigger phrases to test whether the AI makes the correct function calls — for example, checking a patient record, booking an appointment, or checking insurance
- Review transcripts and classify how accurately the AI understood you and responded
Show all 6 itemsHide the other 3 in What you'll do
- Flag issues such as mispronunciations, cutoffs, interruptions, delays, and incorrect function calls, including timestamps
- Test how the AI handles background noise, short replies ("네," "아니요," "괜찮아요"), long numbers, emotional moments, and sensitive or unsafe requests
- Follow detailed labeling guidelines consistently and submit high-quality work
Candidate background
Who You Are
- Native or near-native Korean speaker with a clear, natural speaking voice
- Detail-oriented, with the patience to review recordings and transcripts closely
- Comfortable role-playing a patient and sounding authentic
- Able to follow multi-step instructions and apply them consistently
- Reliable and self-directed when working independently
- Access to a quiet space, a good microphone, a stable internet connection, and a second device for playing background noise
- Comfortable using web-based tools
Nice to Have
Show all 5 itemsHide these 5 items in Nice to Have
- Experience in voice AI evaluation, data annotation, or QA testing
- Background in healthcare administration, customer service, or call center work
- Strong sense of Korean speech levels and politeness (존댓말) in service conversations, and of how Korean numbers are read aloud (native vs. Sino-Korean)
- Linguistics or language-focused studies
- Familiarity with medical terminology in Korean
Quoted from selected sections of Alignerr's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Alignerr's words
Posted by Alignerr, reproduced here so you can judge the role before clicking. Original posting ↗
Korean Voice AI Evaluator (Healthcare Front Desk Conversations)
About the Role
What if your voice could help teach AI how to handle a real phone call to a hospital or clinic? We're looking for native Korean speakers in Sydney to hold natural spoken conversations with an AI healthcare receptionist, then evaluate how well it listens, responds, and takes action.
Sydney's vibrant Korean-speaking community makes it one of Australia's top hubs for this kind of language talent. You'll role-play as a patient using fictional personas we provide, record short conversations, and grade the AI's performance — entirely from home, on a schedule that works for you.
- Organization: Alignerr - Type: Contract (task-based) - Location: Remote - Commitment: Flexible, work at your own pace
What You'll Do
* Hold 4 to 5 minute spoken conversations in Korean with an AI front desk assistant, playing a fictional patient * Say natural trigger phrases to test whether the AI makes the correct function calls — for example, checking a patient record, booking an appointment, or checking insurance * Review transcripts and classify how accurately the AI understood you and responded * Flag issues such as mispronunciations, cutoffs, interruptions, delays, and incorrect function calls, including timestamps * Test how the AI handles background noise, short replies ("네," "아니요," "괜찮아요"), long numbers, emotional moments, and sensitive or unsafe requests * Follow detailed labeling guidelines consistently and submit high-quality work
Who You Are
* Native or near-native Korean speaker with a clear, natural speaking voice * Detail-oriented, with the patience to review recordings and transcripts closely * Comfortable role-playing a patient and sounding authentic * Able to follow multi-step instructions and apply them consistently * Reliable and self-directed when working independently * Access to a quiet space, a good microphone, a stable internet connection, and a second device for playing background noise * Comfortable using web-based tools
Nice to Have
* Experience in voice AI evaluation, data annotation, or QA testing * Background in healthcare administration, customer service, or call center work * Strong sense of Korean speech levels and politeness (존댓말) in service conversations, and of how Korean numbers are read aloud (native vs. Sino-Korean) * Linguistics or language-focused studies * Familiarity with medical terminology in Korean
Why Join Us
* Work on cutting-edge AI projects alongside leading research labs * Fully remote and flexible — work when and where it suits you * Task-based work with real autonomy * Directly help make voice AI more accurate, natural, and safe in healthcare settings * Potential for ongoing work as new projects launch
Note: New contributors complete a short unpaid qualification assessment. Contributors who pass are added to paid production work.
Working with AlignerrPay, getting started and work, from Alignerr's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Billed weekly, Monday to Sunday, with approved work paid by the following Friday, according to Labelbox's help center. Payment goes through Stripe Connect or PayPal depending on your location, with one provider per country. intercom.help/labelbox/en/articles/13600616-alignerr-paym..., alignerr.com/process
- Before your first paid task
- Sign up, apply, verify your identity, set up billing and onboard. Some jobs add a Zara AI interview or domain assessments. alignerr.com/process
- How much work
- Time to your first project depends on demand and your skills, and there is no minimum number of hours. alignerr.com/faqs
- Contract
- Independent contractor, under terms with ALIGNERR LLC. alignerr.com/faqs, alignerr.com/privacy
Read on the pages linked above on 24 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Voice & audio roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Alignerr's posting. How we count.
Pay across the field: Voice & audio
Across 389 roles in this field with a stated hourly rate in US dollars, on 11 platforms, the middle half pays $20 to $50 an hour at the top of the range, and the median is $30. This role's top rate, $40, is in the middle half. Of the 93 distinct rates we count, 62 are lower and 27 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr (this platform) | 155 | $20 to $280 · median $50 |
| Meridial (Invisible) | 51 | $20 to $65 · median $31 |
| AfterQuery | 49 | $30 to $135 · median $55 |
| micro1 | 39 | $12 to $70 · median $28 |
| Lionbridge | 39 | $10 to $45 · median $22 |
Other open roles in Korean
45 roles with a stated hourly rate in US dollars also ask for Korean, on 12 platforms. Their top rates run from $10 to $125 an hour, with a median of $35.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Meridial (Invisible) | 14 | $65 |
| Alignerr (this platform) | 12 | $35 to $40 |
| micro1 | 4 | $28 to $125 |
| RWS TrainAI | 4 | $10 to $22.95 |
| Rise Data Labs | 2 | $40 to $45 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 15 Oct 2026, and still on Alignerr's list when we last read it on 25 Oct 2026.
- The listed pay has not changed since then.
- Posted by Alignerr
- First seen by AIPayList
- Last seen live
- Listing ID
- f59baceb-a4d4-46d9-be43-07efbe9f0bad
Pay as the source states it: “$12-40/hr”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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