Freelance Transcriptionist - Afrikaans

Perle is hiring a freelance transcriptionist fluent in Afrikaans for a remote transcription role. This is a paid contract position open to qualified contributors worldwide.

You will transcribe 2-speaker, channel-separated audio recordings in Afrikaans. Each file has two clearly separated speakers. Your job is to produce a clean, accurate, sequentially ordered transcript with speaker labels and timestamps.

• Listen to 2-speaker audio recordings in Afrikaans
• Type out what each speaker says, accurately and in full
• Label each speaker turn as Speaker 1 or Speaker 2, matching the audio channel
• Add timestamps at the start of each speaker turn (format: HH:MM:SS)
• Ensure transcripts are sequential with no unexplained gaps

• Native or near-native fluency in Afrikaans (spoken and written)
• Strong written Afrikaans — 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
• Prior transcription experience is a plus but not required — all contributors must pass a qualification test

• Word Error Rate (WER) of 5% or less on all delivered transcripts
• Zero speaker label errors — Speaker 1 must always correspond to Channel 1
• Transcripts reviewed on a rolling basis; feedback provided promptly
• Files that do not meet the quality threshold will be returned for correction

• Language required:
  Afrikaans
• Project type:
  Audio transcription (manual)
• Commitment: ~at least 4 hours/day (remote, flexible schedule)
• Start date:
  
  As soon as qualified — rolling onboarding

Perle is an equal opportunity employer. We welcome applicants from all backgrounds.

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. We specialize in the work that requires real human judgment: domain expertise, linguistic nuance, and cultural fidelity that generic data vendors cannot deliver.