Greek Language Transcription Pro — Remote & Flexible Hours

Lever, Inc.

Concepcion

Remote

PHP 2,319,000 - 3,302,000

Part time

4 days ago
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Benefits offered by this job

Flexible hours
Remote work
Global pay
Scalable earnings

Job summary

Lever, Inc. is seeking Independent Contractors for Project Lupin to help improve AI-powered speech recognition through verbatim transcription and audio segmentation tasks. You will work remotely with flexible hours, earning based on audio hours transcribed and billed.

This role emphasizes accuracy, timing, and speaker labeling across multi-person conversations. The project offers no fixed schedule beyond a minimum weekly commitment, with training provided and payments calculated per audio hour

Qualifications

  • Native-level fluency in Greek (regional accents & informal speech).
  • Strong listening comprehension and attention to detail.
  • Ability to produce verbatim transcription including stutters and fillers.
  • Experience in transcription, annotation, or linguistics is an advantage.
  • Comfortable using browser-based tools (training provided).
  • Reliable internet connection.
  • Access to a laptop or desktop (mobile devices not supported).
  • Available for minimum 10+ hours per week.

Responsibilities

  • Listen to real audio recordings and produce precise, verbatim transcripts.
  • Timestamp segments with less than 500ms deviation.
  • Label speakers in conversations with 2–8 participants.
  • Annotate events for non-speech elements (laughter, background noise, unintelligible audio).

Skills

Greek fluency
Transcription experience
Attention to detail
Linguistics background
Browser tools

Tools

Browser tools

Job description

Lever, Inc. is seeking Independent Contractors for Project Lupin to help improve AI-powered speech recognition through verbatim transcription and audio segmentation tasks. You will work remotely with flexible hours, earning based on audio hours transcribed and billed.

This role emphasizes accuracy, timing, and speaker labeling across multi-person conversations. The project offers no fixed schedule beyond a minimum weekly commitment, with training provided and payments calculated per audio hour

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