Voice Recorder (French + English) | $30-$65/hr Remote
Overview
A contractor role that blends language skills with audio production to help train next generation AI. You’ll provide high quality bilingual voice data in French and English to support machine learning systems, shaping how models learn and perform. No AI background required beyond your domain expertise, with remote collaboration and clear data handling at the core of the work.
What You'll Do7
- 1Record polished audio clips in both French and English following provided scripts and prompts
- 2Assess incoming samples for clarity and intelligibility, delivering precise feedback
- 3Produce recordings in varied environments to simulate real world settings
- 4Create controlled background noises on request while maintaining safety and quality standards
- 5Follow project rules around privacy, safety, and specific recording requirements
- 6Accurately label and submit each file with complete metadata
- 7Work with project coordinators remotely to incorporate feedback and meet technical standards
Requirements7
- 1Native French proficiency with strong speaking and writing ability
- 2At least B2 level English with clear communication skills
- 3Experience in audio recording or voice over is a plus
- 4Capable of working independently and adhering to technical guidelines
- 5Excellent attention to detail for both audio quality and documentation
- 6Ability to generate realistic background sounds as needed
- 7Comfort using remote collaboration tools and digital file submission platforms
Who Should Apply
Ideal candidates are bilingual French speakers who bring audio or voice related experience and can follow precise technical guidelines. You should thrive working remotely, pay close attention to detail, and contribute to data quality that directly informs AI training.
Salary Insight
Contract rate ranges from $30 to $65 per hour, depending on scope and experience.
Location
Required Skills
Application Tip
Prepare a small portfolio of sample bilingual recordings and a brief note on how you ensured clarity and consistency across takes to demonstrate quality under real project constraints.
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