Punjabi Transcriptionist for AI Training (Remote)

SaidGig

New York (NY)

Remote

USD 11,000 - 21,000

Full time

5 days ago
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Job summary

SaidGig is seeking a remote Punjabi transcription specialist to support AI language data projects. You will work independently on audio and video content, delivering accurate transcripts with attention to linguistic nuance.

The role emphasizes quality, metadata tagging, and cultural insight, with flexible timelines and pay on an hourly basis. Prior AI experience is not required, making this a great entry into tech-focused language work.

Qualifications

  • Native or near-native Punjabi proficiency with strong grammar and punctuation.
  • Experience with transcription or language annotation, especially Punjabi.
  • Excellent written and verbal communication; able to explain linguistic nuances.
  • Familiarity with transcription tools or platforms preferred.
  • Attention to detail and commitment to accuracy.
  • Ability to work independently and manage priorities.
  • Interest in technology-focused language and AI projects.

Responsibilities

  • Transcribe Punjabi audio and video content with high accuracy.
  • Annotate transcripts with metadata and speaker identification.
  • Review and edit existing transcriptions for consistency and quality.
  • Provide cultural/contextual insights to improve data fidelity.
  • Clarify project requirements via written and verbal communication.
  • Meet project timelines and guidelines.

Skills

Punjabi language proficiency
Transcription experience
Communication skills
Attention to detail

Tools

Transcription tools

Job description

SaidGig is seeking a remote Punjabi transcription specialist to support AI language data projects. You will work independently on audio and video content, delivering accurate transcripts with attention to linguistic nuance.

The role emphasizes quality, metadata tagging, and cultural insight, with flexible timelines and pay on an hourly basis. Prior AI experience is not required, making this a great entry into tech-focused language work.

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