Computational Linguist Annotator

About the role

We are looking for a motivated Computational Linguist Annotator to design, implement, and evaluate linguistic annotation frameworks that power 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 annotation schemas for complex NLP tasks such as semantic role labeling, discourse parsing, coreference resolution, and multimodal language.
• Create clear, scalable annotation guidelines that balance linguistic precision with annotator usability.
• Translate business requirements into robust linguistic annotation frameworks.
• 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