French Transcription Expert (France)

Job Title: French Transcription Expert (France) Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: • Review and correct French transcriptions, ensuring accuracy and linguistic integrity for machine-generated outputs. • Add comprehensive metadata tags and detailed annotations to transcripts to support advanced data use cases. • Analyze audio content expertly, identifying nuances, dialects, and errors overlooked by automated tools. • Collaborate with the customer's team to uphold quality standards and meet project goals efficiently. • Utilize strong written and verbal communication skills to provide clear feedback and contribute to process improvements. • Maintain meticulous attention to detail across all transcription and annotation activities. • Adhere to project timelines, consistently delivering high-quality work within set deadlines. Required Skills and Qualifications: • Fluency in French (France) with exceptional comprehension and expression. • Proven experience in transcription, including correcting and refining machine-generated outputs. • Strong background in applying metadata tags and linguistic annotation. • Keen attention to detail, with a commitment to accuracy and consistency. • Excellent written and verbal communication abilities in French and professional-level English. • Ability to work independently in a remote environment while maintaining alignment with the customer's team. • Demonstrated organizational skills and ability to manage multiple tasks efficiently. Preferred Qualifications: • Prior experience as an audio engineer, data annotator, or professional transcriber. • Understanding of language technologies and machine learning data workflows. • Experience working in multicultural or remote, distributed teams. Originally posted on Himalayas