Computational Linguist Annotator

About the role

We are looking for a highly motivated Computational Linguist to design, implement, and evaluate linguistic annotation frameworks that support advanced AI language systems. The role involves close collaboration with machine‑learning engineers, data scientists and annotation teams to deliver high‑quality linguistic datasets.

Key responsibilities

• Design annotation schemas for complex NLP tasks such as semantic role labeling, discourse parsing, coreference resolution and multimodal language.
• Develop comprehensive annotation guidelines that balance linguistic precision with annotator usability and scalability.
• Translate business requirements from product teams into robust linguistic annotation frameworks.
• Ensure schemas capture relevant linguistic phenomena while remaining computationally tractable.
• Build and maintain annotation interfaces, quality‑assurance dashboards and data‑management tools.
• Create scripts and utilities for data preprocessing, validation and analysis.

Required profile

• Bachelor’s degree in Linguistics, English or a related field.
• At least 5 years of experience in computational linguistics, language annotation or NLP data operations.
• Strong academic foundation in syntax, semantics, pragmatics and discourse analysis.
• Proven experience building and customizing annotation tools and workflows.
• Track record of managing annotation projects from pilot to production scale.
• Excellent written and verbal communication skills.

Required skills

• Annotation tools and workflow customization
• Data preprocessing, validation and analysis scripts