Hindi Audio Transcriptionist (AI Training)

About the Role

We are seeking detail-oriented transcriptionists in and around Mumbai to produce accurate, high-quality transcriptions of spoken Hindi audio. This role directly contributes to building datasets that teach AI systems to understand spoken language. You will transcribe real-world audio featuring multiple speakers, crosstalk, background noise, filled pauses, and natural conversation.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

Key Responsibilities

• Listen to audio recordings in Hindi and produce accurate, detailed transcriptions following provided style and formatting guidelines.
• Handle challenging audio scenarios, including crosstalk, overlapping speakers, filled pauses (um, uh), background noise, and varying audio quality.
• Identify and label multiple speakers consistently throughout recordings.
• Apply detailed formatting, punctuation, and notation conventions with precision.
• Flag unclear or ambiguous audio segments according to project protocols.
• Maintain high accuracy and consistency across large volumes of audio content.
• Work independently and asynchronously on your own schedule.

Requirements & Tech Stack

• Native or near-native fluency in Hindi with an intuitive ear for the language's nuances, dialects, and colloquial expressions.
• Exceptional listening skills, capable of parsing meaning from noisy, fast-paced, or overlapping speech.
• Highly detail-oriented with a methodical, patient approach to repetitive work.
• Comfortable following detailed style guides and formatting rules consistently.
• Strong typing skills and accuracy in Hindi script (Devanagari).
• Self-motivated and reliable when working independently.
• Access to a quiet workspace and reliable internet connection.

Nice to Have

• Professional experience as a transcriptionist, subtitle editor, or closed-captioning specialist.
• Background in linguistics, language studies, or phonetics.
• Prior work with annotation platforms, data labeling tools, or AI training projects.
• Familiarity with transcription software or audio editing tools.
• Experience handling multi-speaker or interview-format audio.
• Proficiency in English for navigating platform instructions and guidelines.