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.

1. Role Overview

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.

2. What You Will Do

• 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

3. Requirements

• 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

4. Quality Standard

• 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

5. Project Details

6. How to Apply

Submit your application through the Perle platform. Applicants who pass the resume check will be onboarded immediately and assigned to production tasks.

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 worlds 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.