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Open nowFirst seen 6 days ago

Hindi Transcription Expert

ESRhealthcare and EXEC STAFF RECRUITERS1,405 open roles

Where
NYC, New York, United States, Remote
Work mode
Remote
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Your applicationOpen nowHindi Transcription ExpertESRhealthcare and EXEC STAFF RECRUITERS · NYC, New York, United States, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 6 days ago

The posting

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).

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