French Audio Transcription Expert (Remote, Contract)
Join OpenTrain as a remote French Transcription Expert to refine machine-generated French audio, add rich metadata, and help train next‑generation AI. Contract, part-time role paying $10–$20/hr with a typical commitment of 20+ hours/week.
Audio Speech
$10–$20/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jun 30, 2026
Posted
Open worldwide
About OpenTrain
OpenTrain is the #1 platform for people building careers in AI training and data labeling. We centralize opportunities so freelancers can find, apply to, and grow within projects that teach AI systems how language and speech work.
For contributors this is a way to turn attention to detail, language skills, and remote flexibility into a durable, growing freelance career in a cutting‑edge field.
About AI training and this work
AI training (also called data labeling, annotation, or human feedback) is the human side of building intelligent systems. Modern speech models learn from carefully corrected and annotated audio: transcriptions, speaker tags, dialect notes, and error corrections.
As a French Transcription Expert you will directly influence how future voice assistants, transcription tools, and multilingual models understand and render French audio.
The role
We are hiring French Transcription Experts to review and refine machine-generated French transcriptions, add metadata and annotations, and help maintain high linguistic quality for training datasets. This is a remote, contractor, part-time role with flexible hours.
Work is task-based and measured for quality and timeliness; contributors collaborate with project teams to meet project targets and improve processes.
- Employment type: Contractor, part-time
- Time requirement: Typically 20+ hours/week
- Location: Fully remote, worldwide
- Languages required: French (France) fluency and professional-level English
What you'll do
Your day-to-day work focuses on improving machine transcriptions and enriching them with linguistically meaningful annotations so models learn the right patterns.
- Review and correct French (France) transcriptions for accuracy and natural expression.
- Add detailed metadata tags and linguistic annotations aligned with project guidelines.
- Identify dialectal features, ambiguous segments, speaker turns, and errors missed by automated tools.
- Rate and evaluate model outputs where required (evaluation/rating tasks).
- Provide clear feedback to the team to help refine annotation guidelines and workflows.
- Deliver high-quality work on schedule while maintaining consistent accuracy.
Requirements
Candidates must meet the core linguistic and transcription skills below. All requirements come from the project brief and are enforced to ensure dataset quality.
- Fluency in French (France) with excellent comprehension and expressive ability.
- Proven experience correcting and refining machine-generated transcriptions.
- Hands-on experience applying metadata tags and linguistic annotation.
- Strong attention to detail and commitment to accuracy and consistency.
- Professional-level English for written communication with the project team.
- Ability to work independently in a remote environment and manage multiple tasks.
Helpful background
The following experiences are not required but make you a stronger candidate and help you move faster in the project.
- Prior work as a professional transcriber, audio engineer, or data annotator.
- Familiarity with language technologies, speech annotation workflows, or machine learning data processes.
- Experience working on multicultural or distributed remote teams.
Compensation, tools, and how to apply
Pay: $10–$20 USD per hour (task-based) as stated in the project brief. Exact effective hourly rate depends on speed and quality.
Labeling tools: You will use the project's annotation software (tool varies by project and is provided during onboarding).
To apply: Prepare examples or a brief summary of relevant transcription/annotation experience, confirm availability for 20+ hours/week, and be ready to complete a short qualification task on onboarding.
- Label types: Transcription, evaluation/rating, entity (NER) classification
- Data type: Audio
- Typical workflow: qualification task, monitored tasks with feedback, ongoing assignments based on quality