Dutch Audio Transcription & Quality Reviewer
Company Description
An Enterprise client is seeking skilled freelancers to support an AI training initiative aimed at improving Dutch speech recognition models. In this role, you will produce precise, verbatim transcriptions and review audio recordings in Dutch. Your contributions will directly help train and enhance next-generation AI speech technologies.
Job Description
Responsibilities
Listen to audio recordings and produce accurate, verbatim transcriptions in Dutch.
Capture not only what is said, but how it is said (including filler words, repetitions, and false starts).
Add speaker labels for multi-speaker recordings (2–8 participants).
Insert precise timestamps for text segments (within 500ms accuracy).
Annotate non-speech events such as laughter, background noise, or unclear audio.
Follow detailed project instructions and maintain high quality standards.
Maintain steady productivity and reliability throughout the project.
Workload & Commitment
Work volume is flexible, with approximately 4 hours of work available per day.
Expected project duration: 1 to 2 months.
We are flexible, but ideally contributors can dedicate at least 20 hours per week.
Work can be completed at any time of day as long as weekly hours and quality levels are met.
Qualifications
Requirements
Native-level fluency in Dutch, including familiarity with regional accents and informal speech.
Strong listening comprehension and attention to detail.
Ability to produce verbatim transcriptions, including stutters, repetitions, and filler words.
Experience in transcription, annotation, or linguistics is an advantage.
Comfortable using browser-based tools (training will be provided).
Reliable internet connection.
Access to a laptop or desktop computer (mobile devices are not supported).
Reliable availability for 20+ hours per week.
Additional Information
Work Assignment
This project focuses on transcription tasks involving both single-speaker and multi-speaker audio recordings. Tasks may vary in complexity depending on audio quality and number of speakers. Clear instructions and guidelines will be provided, and ongoing feedback may be given to ensure quality standards are met.
An Enterprise client is seeking skilled freelancers to support an AI training initiative aimed at improving Dutch speech recognition models. In this role, you will produce precise, verbatim transcriptions and review audio recordings in Dutch. Your contributions will directly help train and enhance next-generation AI speech technologies.
Job Description
Responsibilities
Listen to audio recordings and produce accurate, verbatim transcriptions in Dutch.
Capture not only what is said, but how it is said (including filler words, repetitions, and false starts).
Add speaker labels for multi-speaker recordings (2–8 participants).
Insert precise timestamps for text segments (within 500ms accuracy).
Annotate non-speech events such as laughter, background noise, or unclear audio.
Follow detailed project instructions and maintain high quality standards.
Maintain steady productivity and reliability throughout the project.
Workload & Commitment
Work volume is flexible, with approximately 4 hours of work available per day.
Expected project duration: 1 to 2 months.
We are flexible, but ideally contributors can dedicate at least 20 hours per week.
Work can be completed at any time of day as long as weekly hours and quality levels are met.
Qualifications
Requirements
Native-level fluency in Dutch, including familiarity with regional accents and informal speech.
Strong listening comprehension and attention to detail.
Ability to produce verbatim transcriptions, including stutters, repetitions, and filler words.
Experience in transcription, annotation, or linguistics is an advantage.
Comfortable using browser-based tools (training will be provided).
Reliable internet connection.
Access to a laptop or desktop computer (mobile devices are not supported).
Reliable availability for 20+ hours per week.
Additional Information
Work Assignment
This project focuses on transcription tasks involving both single-speaker and multi-speaker audio recordings. Tasks may vary in complexity depending on audio quality and number of speakers. Clear instructions and guidelines will be provided, and ongoing feedback may be given to ensure quality standards are met.