About this role
Role Overview
As an Odia Audio Transcription Expert, you will leverage your language skills to transcribe complex audio content into high-quality written text. This role is essential in ensuring the accuracy and clarity of transcriptions while utilizing advanced AI transcription tools, all while maintaining strict confidentiality.
Key Responsibilities- Transcribe complex Odia audio files into written text, focusing on accuracy and clarity.
- Utilize AI transcription platforms and tools to enhance workflow efficiency.
- Proofread and edit transcripts for grammatical, contextual, and semantic accuracy.
- Handle confidential speech data responsibly, adhering to data security protocols.
- Collaborate with multilingual team members to resolve transcription ambiguities and share best practices.
- Maintain organized records of transcripts and support audit and review processes.
- Adapt to various domain-specific vocabulary, ensuring correct usage in specialized contexts.
- Native or near-native proficiency in the Odia language, with a strong grasp of grammar and syntax.
- Proven experience in audio transcription, preferably for complex or domain-specific content.
- Familiarity with AI transcription tools and technology-driven workflows.
- Meticulous attention to detail and exceptional proofreading skills.
- Demonstrated understanding of data confidentiality and information security.
- Strong organizational and multitasking abilities.
- Effective team collaboration and multilingual communication skills.
- Prior experience with speech data processing or working with challenging audio materials.
- Exposure to projects involving multiple languages or AI model training datasets.
- Background in fields requiring specialized vocabulary (legal, medical, technical, etc.).
This is a remote, contract position.
CompensationThe hourly pay ranges from $10 to $20.
EligibilityNo voice recording is required. This opportunity is ideal for transcriptionists skilled in handling complex audio and familiar with AI transcription environments. Experience across multiple languages or in preparing data for AI systems will be highly valued.