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Perle

Data labeling and RLHF services provider

Transcriptionist

Content & WritingUpdated on Nov 14
ContractNo salary listed

About the Job

Requirements

  • Native or near-native fluency in spoken and written Afrikaans.
  • Strong written Afrikaans, including accurate spelling, punctuation, and grammar.
  • Ability to work independently and meet daily output targets.
  • Access to a computer with a stable internet connection.
  • Availability for at least 4 hours per day.
  • All contributors must pass a qualification test.
  • Meet a Word Error Rate (WER) of 5% or less on all delivered transcripts, with zero speaker-label errors; Speaker 1 must always correspond to Channel 1.

Responsibilities

  • Transcribe two-speaker, channel-separated audio recordings in Afrikaans into clean, accurate, sequentially ordered transcripts with speaker labels and timestamps.
  • Listen to recordings and accurately transcribe each speaker's words in full.
  • Label each speaker turn as Speaker 1 or Speaker 2 to match the audio channel.
  • Add timestamps at the start of each speaker turn in HH:MM:SS format.
  • Ensure transcripts are sequential with no unexplained gaps.
  • Correct files returned for failing to meet the stated quality threshold.

Desired Qualifications

  • Prior transcription experience is a plus but is not required.

About the Company

Perle

Data labeling and RLHF services provider

Kiva AI provides data labeling, annotation, and Reinforcement Learning from Human Feedback (RLHF) services for AI models. It uses a global pool of experts from over 70 countries to deliver high-quality, scalable labeling across diverse use cases. The process involves sourcing, screening, training, tooling, and incentivizing labelers to ensure accurate, reliable data. By offering scalable data solutions, Kiva AI helps businesses improve AI model performance and achieve a competitive advantage through better quality data. The company's goal is to be a trusted partner that delivers precise, timely data work at scale to support large AI projects.

Company size
51-200
Company stage
Seed
Total funding
$16M
Headquarters
San Francisco, CA
Founded
2024

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