Korean Linguistic Expert
$40 per hourPart-time
Mercor
Pay: $40/hour
Commitment: Part time
Mercor is seeking experienced Korean Linguistic Experts to join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in Korean-language tasks and on curating high-quality Korean linguistic data to train and improve the model's understanding and generation capabilities.
Key Responsibilities:
- Evaluate the quality and accuracy of LLM-generated Korean text across various use cases (e.g., translation, summarization, dialogue, grammar correction).
- Edit, refine, or rewrite Korean content to meet linguistic and cultural standards for Korean-speaking audiences.
- Annotate Korean text for grammatical, syntactic, and semantic features.
- Identify model errors and language gaps, and collaborate with AI researchers to improve LLM performance.
- Provide detailed linguistic feedback and analysis to guide ongoing model training efforts.
You're a strong fit if you have:
- Native or near-native fluency in Korean, with excellent command over grammar, syntax, and stylistics.
- Professional experience in translation, editing, linguistic annotation, or NLP data work in Korean.
- Strong understanding of Korean nuances, regional variations, register, and context-appropriate usage.
- Professional fluency in English.
- Interest in AI and LLM-driven language technologies (preferred but not required).
- Excellent attention to detail and ability to spot subtle errors or unnatural phrasing.
- Clear communication skills and experience working in distributed, remote teams.
Why Join
- Contribute to cutting-edge AI research in partnership with a leading research lab.
- Work on high-impact projects that directly support the development of advanced AI systems.
- Gain hands-on exposure to state-of-the-art AI research and development.
- Join a fast-moving project where your expertise and judgment can have a meaningful impact.
Vacancy posted 2 days ago
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