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German Audio Transcription Analyst at Welocalize

Luxembourg, , Luxembourg -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

29.0

Posted On

13 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

German Fluency, Audio Transcription, Data Annotation, Attention To Detail, Written Communication, Punctuation And Formatting

Industry

technology;Information and Internet

Description

Overview: Welo Data is seeking attentive listeners to join an exciting AI training data project for one of the world's leading voice AI platforms. Your contributions will directly enhance how the platform understands German dialects. What you will do: Listen to 5-second audio clips and transcribe them exactly as spoken. Follow a clear, well-documented style guide for punctuation, formatting, and audio flags. Flag clips with background noise, cut-off speech, or unclear audio using simple codes. Benefit from flexible working hours while maintaining an average completion time of ~125 seconds per task. Project Details Start Date: ASAP Duration: Up to 6 weeks, with the possibility of extension Commitment: 10–20 hours per week Job Type: Freelance Location: Remote (Luxembourg) Language: German Pay Rate: $29/hour Requirements: Native or near-native fluency in German Strong written language skills, including awareness of punctuation and sentence structure. Reliable computer, high-quality headphones, and stable internet connection. Comfortable working independently with minimal supervision in a remote environment. Attention to detail and ability to apply structured guidelines consistently. Prior experience in transcription, data annotation, or a related field is advantageous but not required. Availability to commit 10–20 hours per week for up to 6 weeks. Join Welo Data to be part of an impactful project that helps make AI more culturally relevant and inclusive.

Responsibilities

Listen to short German audio clips and transcribe them exactly as spoken according to a style guide. Identify and flag audio issues such as background noise or cut-off speech using specific codes.