This opportunity is ideal for native French speakers with strong listening skills who are comfortable identifying nuances in spoken audio and working independently on transcription and transcript-cleanup tasks.
What You'll Do:
- Produce accurate transcriptions of spoken French audio.
- Clean up and correct French audio transcripts.
- Carefully identify details such as crosstalk, filled pauses, background noise, and multiple speakers.
- Follow detailed transcription, style, and formatting guidelines.
- Work independently and asynchronously on your own schedule.
- Maintain accuracy and consistency across assigned transcription tasks.
Requirements:
- Native speaker of French.
- Strong listening skills and attention to detail.
- Comfortable working independently without direct supervision.
- Self-motivated and reliable.
- Able to follow detailed style and formatting guidelines.
Nice to Haves:
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Previous experience as a transcriptionist.
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Experience as a court reporter.
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Background in subtitle or closed-captioning editing.
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Background in linguistics.
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Previous experience working with annotation platforms.
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Fully remote contract opportunity.
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Work independently and asynchronously on your own schedule.
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Compensation ranges from $10–$35 USD per hour.
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Expected workload is 10–39 hours per week, depending on project needs.
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Work volume may fluctuate throughout the duration of the contract.
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Weekly lump-sum payments for work completed during the previous week.
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If selected, you will receive an Upwork contract offer and instructions for onboarding to the client's tasking platform.
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An active contract is required to receive onboarding instructions, evaluation/assessment access, and payment for the project.
An enterprise client is seeking a high volume of detail-oriented French Transcriptionists to help produce accurate transcriptions of spoken French audio and clean up and correct audio transcripts.
The selected consultants will support the company, a leading AI platform that helps organizations build intelligent applications through high-quality human feedback and data labeling.
Originally posted on Himalayas
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