Russian Language Specialist (Germany-based)

Perle AILocation Not Available

Stellenbeschreibung:

Russian Language Specialist (Germany-based)

About Perle This is your chance to be a core contributor to the future of Artificial Intelligence. perle.ai is advancing the next generation of global language models (LLMs) and we need your linguistic expertise. We call our team the "Experts"—because we believe that AI is only as smart as its teachers. As a Language Specialist, you will be an indispensable voice, using your native-level knowledge of Russian to train AI for cultural precision, accuracy, and true human understanding. If you're passionate about language and ready to shape technology that impacts the world, we want you.

The Opportunity We are seeking a highly skilled and detail-oriented Russian Speaker with native-level fluency to evaluate and improve the quality of linguistic data, specifically in text and audio formats, for an AI/Natural Language Processing (NLP) project with perle.ai.

What you'll do

  • Data Annotation & Evaluation: Accurately evaluate and annotate large volumes of text and audio data in Russian for linguistic quality, accuracy, clarity, and cultural appropriateness.
  • Error Identification: Identify and categorize grammatical errors, syntactic issues, semantic inconsistencies, transcription errors, and inappropriate or non-native phrasing.
  • Quality Assurance: Ensure the linguistic data adheres to project-specific guidelines and high-quality standards.
  • Feedback & Reporting: Document and report linguistic issues and trends, providing clear, constructive feedback to improve the overall language model performance.

Qualifications

  • Native Speaker & Residency: Must have native-level fluency in Russian and currently residing in Germany.
  • Education: Bachelor's Degree (minimum) from an accredited institution.
  • Linguistic Background (Preferred): A degree in Linguistics, Russian Language Studies, Translation, or a related field is highly preferred.

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Stelleninformationen

  • Veröffentlichungsdatum:

    18 Mai 2026
  • Standort:

    Einsatzort:

    Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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