German Language Reviewer – AI trainer
Location | Kampala, Uganda |
Date Posted | October 12, 2025 |
Category | IT / Information Technology |
Job Type | Part-time |
Currency | UGX |
Description

Job Summary:
Join our customer’s team as a German Language Reviewer - AI Trainer and play an essential role in shaping the future of AI-driven language technology. In this fully remote, part-time position, you'll harness your expertise in German linguistics and communication to evaluate, refine, and enhance the linguistic authenticity and accuracy of AI-generated German content.
Key Responsibilities:
- Review and assess AI-generated German content for linguistic accuracy, fluency, and natural expression.
- Identify and distinguish between native and non-native German speech and writing samples.
- Deliver insightful, detailed feedback to improve AI understanding of German grammar, idioms, and regional nuances.
- Collaborate closely with technical teams to enhance AI voice models, focusing on accent recognition and clarity.
- Analyze and annotate voice and text data, ensuring high standards in pronunciation, vocabulary, and authenticity.
- Contribute to developing robust assessment frameworks for native German identification and language quality control.
- Maintain comprehensive documentation of evaluations and actively participate in ongoing quality assurance initiatives.
Required Skills and Qualifications:
- Native-level proficiency in German with outstanding written and verbal communication skills.
- Strong ability to recognize and evaluate various German accents and dialects.
- Academic background in German Studies, Linguistics, or a related field.
- Exceptional attention to detail and a genuine passion for language quality.
- Prior experience in content reviewing, editing, language assessment, or similar roles.
- Skilled in providing clear, actionable, and constructive feedback.
- Self-motivated and able to deliver high-quality work independently in a remote setting.
Preferred Qualifications:
- Experience in AI training, speech data annotation, or related machine learning projects.
- Familiarity with voice-based technologies or linguistic resource development.
- Advanced degree or specialized certification in German linguistics or related studies.
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