Posted 6 months ago
Expert Audio Transcriber, Hebrew (US, Canada, EU)
@ Perle
Remote in Canada
Overview
Perle is hiring expert Hebrew transcribers as contractors to convert audio recordings of native Israeli speakers into precise, conventionally formatted transcripts. The work trains speech recognition and dialogue systems for major AI labs, with per-task or per-minute pay and volume that scales with active projects. A paid pilot task precedes full onboarding.
Responsibilities:
- Transcribe Hebrew audio into accurate, time-aligned text
- Apply conventions for speakers, disfluencies and non-speech events
- Make orthographic decisions for dialectal and code-switched speech
- Flag ambiguous segments and audio quality issues
- Self-review submissions against the quality bar
Requirements summary:
- Native fluency in Modern Hebrew with deep immersion in Israel
- At least two years of professional transcription or related experience
- Word-level accuracy under deadline pressure
- Comfort with web-based annotation platforms
- Reliable internet, quality headphones and quiet workspace
Tools & skills
Source and dates
Employer career site / ATS feed · rippling
- Employer posting date
- 2026-05-14
- First seen by our source
- 2026-10-09
- Source record updated
- 2026-10-16
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Experience | 2+ years |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | Hebrew, English |
| Perks mentioned | Flexible hours |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Perle
| Field | Value |
|---|---|
| Open jobs on Jobsy | 4 |
ABOUT PERLE
Perle is an AI infrastructure company building expert-driven training data, evaluation systems, and applied AI products for the world's leading labs and enterprises. Our partners include xAI, Samsung, ELM, and Unisys. Headquartered in San Francisco with experts across more than forty markets, we specialize in the work that requires real human judgment: domain expertise, linguistic nuance, and cultural fidelity that generic data vendors cannot deliver.
Apply here: https://winnow.perle.ai/jobs/169a85d3-be45-4065-bd59-bfee7ef55b8a
THE ROLE
We are hiring expert Hebrew (US, Canada, EU) transcribers to convert audio recordings of native speakers into precise, conventionally formatted written transcripts. The work powers speech recognition, dialogue, and evaluation systems for major AI labs. Audio ranges from clean studio recordings to natural conversational speech in real-world acoustic conditions.
You will be working at the level of expert linguistic judgment. This is not data entry. Decisions about orthography, code-switching, speaker attribution, disfluencies, and non-speech events shape the quality of every model trained on your output.
DIALECT AND SCOPE
Modern Hebrew (Ivrit) as spoken across Israel. Project audio reflects everyday speech with right-to-left script direction and awareness of optional niqqud (vowel pointing) per project conventions.
Primary speaker regions: Tel Aviv, Jerusalem, Haifa, Beersheba, Netanya, Rishon LeZion.
WHAT YOU WILL DO
- Transcribe audio recordings into accurate, time-aligned written text following Perle's project-specific style guide
- Apply correct conventions for speaker identification, overlapping speech, disfluencies, fillers, false starts, and non-speech events such as laughter, background noise, and music
- Make principled orthographic decisions for dialectal, colloquial, and code-switched speech
- Flag ambiguous segments, uncertain speakers, and audio quality issues using project conventions
- Self-review every submission against Perle's quality bar before delivery
- Engage with QA reviewers on edge cases, calibration sessions, and style guide updates
MUST HAVE
- Native fluency in Modern Hebrew with lifelong residence or deep immersion in Israel
- High accuracy reading and writing in Hebrew script, with or without niqqud per project specification
- Comfortable transcribing Hebrew-English, Hebrew-Russian, or Hebrew-Arabic code-switching
- Familiarity with both colloquial and formal Hebrew registers
- At least two years of professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience
- Demonstrated accuracy at the word level under deadline pressure
- Comfortable with web-based annotation platforms and variable-speed audio playback
- Reliable high-speed internet, quality headphones, and a quiet workspace
- Ability to commit to defined volume per week during active project phases
NICE TO HAVE
- Background in Hebrew linguistics, translation, journalism, or media
- Prior experience annotating Hebrew speech data
- Working knowledge of Yiddish, Arabic, or Russian for cross-lingual audio
- Familiarity with IPA or other phonetic transcription systems
- Experience with verbatim versus clean-verbatim transcription conventions
HOW WE WORK WITH YOU
- Paid pilot task before full onboarding so both sides can calibrate
- Per-task or per-minute compensation, with rates tied to audio complexity and turnaround
- Flexible scheduling, with volume scaling up and down based on active client projects
- Direct working relationship with Perle's linguistic leads and QA team
- Eligible for invitation to additional Perle expert projects across related domains
HOW TO APPLY
Apply through Winnow, Perle's job portal at winnow.perle.ai. Find the role for your language under Open Jobs, set up your candidate profile, and complete the fully automated interview, which takes about 25 minutes. We review applications within 24 hours and invite passing candidates straight to the project.
Apply here: https://winnow.perle.ai/jobs/169a85d3-be45-4065-bd59-bfee7ef55b8a
EQUAL OPPORTUNITY Perle hires experts on the basis of skill, language proficiency, and demonstrated quality. We welcome applicants from every background and every region where our target languages are spoken. |
Journal
Only you can see this. Kept on this device, and in your account when you sign in.