Linguistic Content Specialist

2 days ago

Alleppey, Kerala, India beBeeLinguist Full time US$ 50,000 - US$ 75,000
Job Description

We are seeking a skilled linguist to support our AI training initiatives and linguistic content creation. You will shape the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation.

You will be responsible for creating or editing linguistically-rich content, identifying and resolving issues related to ambiguity, bias, and grammaticality, performing quality assurance on model outputs, annotating linguistic datasets, supporting internal teams by conducting linguistic research, and applying linguistic knowledge to evaluate model behavior.

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.

To succeed in this role, you will need to demonstrate a deep understanding of linguistic theory and language structure, experience with computational linguistics, corpus analysis, language data annotation, or LLM training, and strong writing, editing, and communication skills.

Requirements:

Education: A bachelor's degree in linguistics, computer science, or a related field is required.

Skills:

  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and as part of a team.
  • Proficiency in at least one programming language (e.g., Python, Java, C++).
  • Experience with machine learning and natural language processing technologies.

Assessment:

To proceed further in the evaluation process, you will need to complete two assessments: an assessment test that evaluates your linguistic and analytical skills, and a Versant English Proficiency Test that focuses on assessing your spoken and written English proficiency at a C1 or C2 level.

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