Expert Audio Transcriber, Finnish

Perle Systems

Finland

Remote

EUR 20,000 - 40,000

Full time

14 days+

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Job summary

Perle Systems is seeking expert Finnish transcribers to convert audio recordings of native speakers into precise, conventionally formatted transcripts. You will work with a project-specific style guide, applying speaker identification, disfluency handling, and dialect decisions to produce high-quality outputs.

Work involves standard Finnish plus regional varieties, with audio ranging from studio to real-world conditions.

Qualifications

  • Native fluency in Finnish with lifelong residence or deep immersion in Finland.
  • Mastery of standard Finnish orthography and awareness of spoken-language conventions.
  • Ability to distinguish major Finnish dialect regions in transcription.
  • Comfortable transcribing the gap between written and spoken Finnish where projects require it.
  • 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.

Responsibilities

  • 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.

Skills

Finnish transcription
Orthography mastery
Dialect recognition
Annotation platforms
Quiet workspace
High-speed internet

Tools

Web-based annotation platform

Job description

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.

THE ROLE

We are hiring expert Finnish 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

Standard Finnish (yleiskieli) and its spoken regional varieties (puhekieli), which differ substantially from the written standard. Project audio includes both formal and colloquial registers across major Finnish accent regions. Primary speaker regions: Helsinki, Tampere, Turku, Oulu, Jyvaskyla, Lahti.

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 Finnish with lifelong residence or deep immersion in Finland
  • Mastery of standard Finnish orthography and awareness of spoken-language conventions
  • Ability to distinguish major Finnish dialect regions in transcription
  • Comfortable transcribing the gap between written and spoken Finnish where projects require it
  • 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 Finno-Ugric linguistics, translation, journalism, or media
  • Prior experience annotating Finnish or related Finno-Ugric speech data
  • Working knowledge of Estonian, Karelian, or Swedish 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
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.

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