Computational Linguist Annotator

About the role

We are looking for a motivated Computational Linguist 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.

Key responsibilities

• Design annotation schemas for complex NLP tasks such as semantic role labeling, discourse parsing, coreference resolution, and multimodal language.
• Create comprehensive guidelines that balance linguistic precision with annotator usability and scalability.
• Translate business requirements into linguistic annotation frameworks in partnership with product teams.
• 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.
• 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 track record managing annotation projects from pilot to production scale.
• Excellent written and verbal communication skills.

Required skills

What we offer

• Remote work with a global team.
• Opportunities to shape cutting‑edge NLP datasets.
• Collaborative environment with leading AI researchers.