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Perle

Data labeling and RLHF services provider

Freelance Transcriptionist - Oromo

Data EntryUpdated on Nov 14
ContractNo salary listed

About the Job

Requirements

  • Native or near-native fluency in spoken and written Oromo.
  • Strong written Oromo, 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; prior transcription experience is not required.

Responsibilities

  • Transcribe two-speaker, channel-separated audio recordings in Oromo.
  • Accurately and fully transcribe each speaker's words.
  • Label each speaker turn as Speaker 1 or Speaker 2 to match the audio channel.
  • Add a timestamp at the start of each speaker turn in HH:MM:SS format.
  • Ensure transcripts are sequential with no unexplained gaps.
  • Meet the quality standard of a Word Error Rate (WER) of 5% or less and make corrections to files returned for failing to meet the quality threshold.

Desired Qualifications

  • Prior transcription experience is a plus.

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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