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 remote and full‑time, collaborating closely 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.
• Develop clear, scalable annotation guidelines that balance linguistic precision with annotator usability.
• Translate business requirements into linguistic frameworks in partnership with product teams.
• 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.
• Minimum five 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

• Experience building and customizing annotation tools and workflows.
• Proficiency in scripting languages for data processing (e.g., Python).
• Familiarity with NLP frameworks and libraries.