German Linguistic Expert at Mercor
posted 37 minutes agoGerman Linguistic Expert | $40/hr | Part Time | Remote
Mercor is hiring German Linguistic Experts for a part-time, remote AI research project run in partnership with a leading research lab. The work focuses on evaluating how well a large language model (LLM) performs on German-language tasks and on curating high-quality German linguistic data to train and improve the model.
What the work involves
- Evaluating the quality and accuracy of LLM-generated German text across use cases such as translation, summarization, dialogue and grammar correction.
- Editing, refining or rewriting German content to meet linguistic and cultural standards for German-speaking audiences.
- Annotating German text for grammatical, syntactic and semantic features.
- Identifying model errors and language gaps, and collaborating with AI researchers to improve LLM performance.
- Providing detailed linguistic feedback and analysis to guide ongoing model training.
Who it's for
- Native or near-native fluency in German, with strong command of grammar, syntax and stylistics.
- Professional experience in translation, editing, linguistic annotation or NLP data work in German.
- Good understanding of German nuances, regional variations, register and context-appropriate usage.
- Professional fluency in English.
- Interest in AI and LLM-driven language technologies (preferred, not required).
- Excellent attention to detail, including spotting subtle errors and unnatural phrasing.
- Clear communication skills and experience working in distributed remote teams.
Pay and schedule
The role pays $40 per hour on a part-time basis.
Where you'll work
Fully remote. The project offers hands-on exposure to state-of-the-art AI research and the chance to directly support the development of advanced AI systems.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.