Language Specialist Vietnamese
Vị trí này làm việc từ xa tại Việt Nam cho Innodata Inc., một công ty hàng đầu về data engineering và giải pháp AI. Vai trò tập trung vào xây dựng, chỉnh sửa nội dung giàu ngữ liệu, rà soát chất lượng đầu ra mô hình AI và gán nhãn dữ liệu ngôn ngữ học. Hợp đồng full-time với môi trường chuyên nghiệp toàn cầu.
Ứng viên cần tốt nghiệp Ngôn ngữ học hoặc ngành liên quan, nắm vững lý thuyết, có kỹ năng viết-chỉnh sửa xuất sắc. Kinh nghiệm về NLP, chú thích dữ liệu hay đào tạo LLM là lợi thế. Công việc phù hợp người đam mê ngôn ngữ và công nghệ AI.
Company Description:
(NASDAQ: INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked. That’s why we’re on a mission to help the world’s leading technology companies and enterprises drive Generative and Traditional AI innovation. We provide a range of transferable solutions, platforms, and services for AI builders and adopters. In every relationship, we honor our 35+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Primary Description:
Innodata Inc. · Vietnam (Remote)
About the Role:
We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.
Job Title: Linguistics Expert – AI Training & Content Writing
Experience Level: Degree in Linguistics or a related field
Key Responsibilities:
- Create or edit linguistically-rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines.
- Identify and resolve issues related to ambiguity, bias, and grammaticality.
- Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness.
- Annotate linguistic datasets with syntactic, semantic, or pragmatic labels.
- Support internal teams by conducting linguistic research and summarizing findings.
- Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues.
Qualifications:
- Degree in Linguistics, Applied Linguistics, Computational Linguistics, or a related field.
- Deep understanding of linguistic theory and language structure.
- Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training.
- Strong writing, editing, and communication skills.
Location: Vietnam
Skills:
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