
Language Model Specialist
1 day ago
Innodata is a leading data engineering company that combines advanced machine learning and artificial intelligence technologies with a global workforce of subject matter experts to provide AI technology solutions. We offer a powerful combination of digital data solutions and high-quality platforms.
Our global workforce includes over 5,000 employees in various locations around the world. We are an AI technology solutions provider-of-choice for several big technology companies and leading companies across financial services, insurance, technology, law, and medicine.
About the role:
You will play a crucial role in shaping the capabilities of large language models and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. You will create or edit linguistically-rich content, identify and resolve issues related to ambiguity, bias, and grammaticality, and perform quality assurance on model outputs.
Key Responsibilities:
- Create or edit 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:
- Deep understanding of linguistic theory and language structure.
- Experience with computational linguistics, corpus analysis, language data annotation, LLM training is a plus.
- Strong writing, editing, and communication skills.
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