Computational Linguist Annotator

About the role

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

Key responsibilities

• Design linguistic 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.
• Collaborate with product teams to translate business requirements into effective 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.
• Develop scripts and utilities for data preprocessing, validation, and analysis.

Required profile

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

Required skills