Remote Language Annotation Specialist

Odixcity Consulting; South Africa; Remote; ZAR 656.000 - 1.149.000; Vollzeit

Zusammenfassung

Odixcity Consulting is seeking a Language Specialist – Annotation to support the development of AI and NLP systems, applying linguistic expertise to annotate, review, and validate language data, ensuring accuracy, consistency, and cultural relevance.

Responsibilities include annotating text or speech datasets, labeling data for POS, sentiment, and intent; developing guidelines; conducting QA and inter-annotator checks; ensuring cultural context and multilingual support.

Qualifikationen

• Bachelor’s or Master’s degree in Linguistics, Applied Linguistics, Languages, or related field.
• Native or near-native proficiency in the target language(s).
• Strong understanding of grammar, syntax, and language structure.
• Experience in linguistic annotation or data labeling projects.
• Familiarity with NLP concepts and AI workflows.
• Experience with annotation tools (e.g., Label Studio, Prodigy, ELAN).
• Knowledge of corpus linguistics or discourse analysis.
• Multilingual capabilities.

Aufgaben

• Annotate and review text, speech, or conversational datasets.
• Label and text data for parts of speech, sentiment, intent, syntax project guidelines.
• Ensure cultural and contextual appropriateness of annotated data.
• Develop and refine annotation guidelines.
• Conduct quality assurance and inter-annotator agreement checks.
• Provide feedback to improve workflows and annotation standards.
• Support multilingual or domain-specific annotation projects (if applicable).

Kenntnisse

Annotation quality

Multilingual capability

Linguistic knowledge

Quality assurance

Inter-annotator agreement

Ausbildung

Bachelor’s or Master’s degree in Linguistics/Applied Linguistics/Languages

Tools

Label Studio

Prodigy

ELAN

Jobbeschreibung

Odixcity Consulting is seeking a Language Specialist – Annotation to support the development of AI and NLP systems, applying linguistic expertise to annotate, review, and validate language data, ensuring accuracy, consistency, and cultural relevance.

Responsibilities include annotating text or speech datasets, labeling data for POS, sentiment, and intent; developing guidelines; conducting QA and inter-annotator checks; ensuring cultural context and multilingual support.