German translator for outsourcing Requirement in Germany.
German translator for outsourcing Requirement in Germany.
German translator for outsourcing Requirement in Germany.
German translator for outsourcing Requirement in Germany.
ProZ.com
Übersetzen, Dolmetschen
Germany
- Art der Anstellung: Vollzeit
- Vor Ort
German translator for outsourcing Requirement in Germany.
Über diesen Job
We are looking for German translator for outsourcing Requirement in Germany.
The client is planning to train an LLM for the Automotive domain. The resource is expected to perform LQA (Linguistic Quality Assurance) and validate the language data.
Ideal Resource Background:
• Master’s or PhD in Linguistics or Applied Linguistics
• Native-level fluency in the target language.
Key Responsibilities (LQA):
Core Linguistic Skills:
1. Phonetics & Phonology – Understanding of how speech sounds are produced and perceived
2. Morphology & Syntax – Knowledge of word structures and sentence rules
3. Semantics & Pragmatics – Interpreting meanings based on linguistic and situational context
4. Sociolinguistics – Familiarity with accents, dialects, and regional variations
5. Transcription & Annotation – Ability to transcribe and annotate data for ML
6. Error Analysis – Reviewing and explaining model output errors, especially across languages
In Voice AI:
• Evaluate ASR/TTS model outputs
• Build and refine phonetic dictionaries
• Annotate speech/text corpora with tags (e.g., speaker ID, accent, emotion)
• Perform LQA and validation of language data
The client is planning to train an LLM for the Automotive domain. The resource is expected to perform LQA (Linguistic Quality Assurance) and validate the language data.
Ideal Resource Background:
• Master’s or PhD in Linguistics or Applied Linguistics
• Native-level fluency in the target language.
Key Responsibilities (LQA):
Core Linguistic Skills:
1. Phonetics & Phonology – Understanding of how speech sounds are produced and perceived
2. Morphology & Syntax – Knowledge of word structures and sentence rules
3. Semantics & Pragmatics – Interpreting meanings based on linguistic and situational context
4. Sociolinguistics – Familiarity with accents, dialects, and regional variations
5. Transcription & Annotation – Ability to transcribe and annotate data for ML
6. Error Analysis – Reviewing and explaining model output errors, especially across languages
In Voice AI:
• Evaluate ASR/TTS model outputs
• Build and refine phonetic dictionaries
• Annotate speech/text corpora with tags (e.g., speaker ID, accent, emotion)
• Perform LQA and validation of language data
Service provider targeting (specified by job poster):
Membership:
Non-members may quote after 12 hours