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Hindi Audio Transcription Expert

Job in Northern, Floyd County, Kentucky, USA
Listing for: OpenTrain AI, Inc.
Full Time, Part Time position
Listed on 2026-10-01
Job specializations:
  • Language/Bilingual
    Data Annotation/ AI Labeling, English Speaking
Salary/Wage Range or Industry Benchmark: 20 - 36 USD Hourly USD 20.00 36.00 HOUR
Job Description & How to Apply Below
The work

You will create accurate transcripts and annotations from Hindi and English audio. The work includes reviewing language data, adding context, and helping improve the quality of material used to train AI systems.

  • Transcribe Hindi and English audio accurately and consistently.
  • Review and edit transcripts to correct errors and inconsistencies.
  • Add metadata and contextual notes to audio files.
  • Work with project coordinators to clarify guidelines and adjust to changing requirements.
  • Submit assignments according to project milestones and quality standards.
  • Share useful feedback about tools, workflows, and language challenges.
What it pays and takes

This is a remote, part-time contractor role. The structured experience level is entry level, but the role requires demonstrated professional experience with high-accuracy audio transcription.

  • Pay: $20-$36 per hour.
  • Time:
    Less than 20 hours per week, with at least 10 hours required.
  • Languages:

    Native-level Hindi fluency and strong spoken and written English comprehension.
  • Location:

    Remote, subject to eligibility in the countries listed for this role.
  • Experience:

    Professional experience transcribing complex or varied audio content.
  • Tools:
    Familiarity with standard transcription platforms or tools.
  • Strengths:
    Careful attention to detail, clear communication, accurate documentation, and the ability to manage multiple assignments.
  • Helpful background:
    Experience in AI training, data annotation, or linguistic resource development.
About AI training work

AI training is the human work behind modern artificial intelligence. People transcribe audio, label data, and review examples so AI systems can learn from accurate, useful information; language specialists are paid for the knowledge and care they bring to that work.

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