Music Platform Evaluator - German (Germany)

Work Location:  Remote/Work from home (Germany) 
Engagement Model:  Freelance/Independent contractor 
Language(s) Needed: German and English
Estimated start date:  March 10th, 2026
Estimated duration: Up to 2.5 hour in total (tasks completion before March 12th, 2026)
Estimated throughput: 6 tasks per hour, total 13 tasks.
Compensation: Flat rate of $42.5 USD

DataForce by TransPerfect is seeking German speakers with an interest in music to join our Seraphina Music Platform Evaluator project.

Role Description

As a Music Platform Evaluator, you will assess the user experience of the platform’s interactive music feature by rating search relevance, recommendation quality, text‑to‑speech accuracy and quality, as well as bugs identification.

Job requirements 

• Idiomatic fluency in German (Germany) and ability to identify linguistic issues (e.g. fluidity / naturalness, grammar, pronunciation including artist names and cultural fit).

• Advanced English skills.

• Extensive and up-to-date knowledge of regional music.

• Professional music industry experience is not required - being an avid listener, experienced musician, songwriter or other music professional is sufficient.

• At least 3 months of Spotify listing history with substantial activity.

• Ability to think critically and apply expertise knowledge to the evaluations and communicate the findings and questions both in text and verbally.

• Knowledge of Spotify’s top features / offerings (Daily Mix, Wrapped, Daylist, etc.) as well as popular user music streaming habits.

• Comfortable navigating Spotify on both desktop and mobile app.

• Willing to take and pass a qualification test before beginning the work.

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.

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