
Hindi Transcriber – AI Voice Data Project
Posted Aug 14

Posted Aug 14
This is a fully remote position, open to applicants in India.
• Transcribe natural, unscripted Hindi dialogues for the purpose of training AI speech models.
• Engage in conversations covering various topics such as Finance, Travel, Healthcare, Retail, Telecom, and more.
• Complete the application process, including a 2–3 minute Hindi transcription skill assessment.
• Participate in evaluation, shortlisting, NDA signing, onboarding, and assignment of production tasks.
• Precisely transcribe conversational audio verbatim in Hindi script.
• Retain fillers, repetitions, stutters, false starts, and natural speech patterns during transcription.
• Manage Odia-English/Hindi code-switching, regional accents, and colloquial expressions.
• Identify and label unintelligible speech, overlapping dialogues, background noise, and other audio complications.
• Adhere to project-specific transcription and formatting standards.
• Maintain a transcription accuracy of 97% or higher while meeting assigned turnaround times (TATs).
• Review and amend work based on feedback from QA or reviewers.
• Native or near-native proficiency in Hindi, with exceptional reading and writing capabilities.
• 1–3+ years of experience in transcription, subtitling, captioning, speech annotation, or related fields is preferred.
• Strong Hindi typing abilities; a typing speed of 40+ words per minute is preferred.
• Excellent listening skills and a keen attention to detail.
• Comfortable working with natural, unscripted, multi-speaker conversations.
• Experience in handling multilingual or code-switched audio is advantageous.
• Personal laptop or desktop, reliable internet connection, and high-quality headphones are mandatory.
• Must sign a Non-Disclosure Agreement (NDA) prior to accessing project audio and transcription materials.
• Ability to sustain a transcription accuracy of 97% or above while adhering to assigned TATs.
• Compensation is based on approved transcription output, with rates discussed during onboarding.
• High-performing contributors may be considered for ongoing projects.
• High-performing contributors may also be considered for QA/Reviewer roles.
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