Turkish Generative Audio Evaluator (Remote, Part-Time)

RWS Group

Turkey

Remote

TRY 544,000 - 748,000

Full time

14 days+
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Job summary

RWS Group is seeking Generative Audio Evaluation Specialists for a remote freelance position in Turkey. The role offers part-time scheduling with a flexible 10+ hours per week and a rate of 9 USD per hour.

The project focuses on testing and assessing a cutting-edge generative audio model, helping identify performance issues and provide feedback to improve the model. Ideal candidates are Turkish-native, detail-oriented, and able to follow detailed evaluation guidelines.

Qualifications

  • Native-level fluency in Turkish.
  • Strong attention to detail and listening skills.
  • Ability to follow detailed evaluation guidelines consistently.
  • Good understanding of spoken language, audio quality, and context.
  • Reliable equipment - high-quality headphones required.
  • Ability to complete the evaluation test within 48 hours of receiving the assignment.

Responsibilities

  • Audio Quality & Naturalness: assess speech, background music, and sound effects for clarity, quality, and naturalness.
  • Audio-Video Alignment: evaluate synchronization between generated audio and video, including lip-sync and timing.
  • Caption Compliance: check whether the generated audio follows provided text captions and task requirements.
  • Voice Quality: evaluate whether generated voices sound natural and match the reference where applicable.
  • Evaluation & Feedback: assign accurate scores and identify issues according to guidelines.

Skills

Turkish (native)
Attention to detail
Listening skills
Guidelines adherence

Job description

RWS Group is seeking Generative Audio Evaluation Specialists for a remote freelance position in Turkey. The role offers part-time scheduling with a flexible 10+ hours per week and a rate of 9 USD per hour.

The project focuses on testing and assessing a cutting-edge generative audio model, helping identify performance issues and provide feedback to improve the model. Ideal candidates are Turkish-native, detail-oriented, and able to follow detailed evaluation guidelines.

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