Hindi Transcription Expert

Job Title: Hindi Transcription Expert

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 accurately transcribe Hindi audio files, ensuring superior language fidelity and clarity.
• Audit and correct machine-generated transcription outputs, applying a fluent understanding of Hindi language and nuances.
• Add detailed metadata tags and annotations to transcriptions for enhanced data organization and retrieval.
• Maintain meticulous attention to detail by spotting and correcting inconsistencies, errors, or ambiguities in scripts.
• Collaborate with the customer's team, providing feedback and insights into the transcription and annotation process.
• Ensure timely delivery of high-quality, client-ready transcription and annotation projects.
• Uphold data privacy and confidentiality at all times.

Required Skills and Qualifications:

• Fluent proficiency in spoken and written Hindi.
• Demonstrated expertise in transcription, annotation, and metadata tagging of Hindi audio content.
• Exceptional attention to detail with a commitment to accuracy and quality.
• Strong written and verbal communication skills, with the ability to provide clear feedback and documentation.
• Experience in correcting and editing machine-generated transcriptions for errors and contextual relevance.
• Ability to work independently and collaboratively in a fully remote, fast-paced environment.
• Proficient in using transcription software and familiar with digital collaboration tools.

Preferred Qualifications:

• Prior experience as an audio engineer, data annotator, or professional transcriber.
• Background in linguistic data processing or working with large-scale audio datasets.
• Understanding of AI or machine learning data annotation processes (a plus, but not required).

Originally posted on Himalayas