Wir suchen eine:n wissenschaftliche:n Mitarbeiter:in (m/w/d), Entgeltgruppe 13 TV-L
Core
Building, annotating, and semantically enriching a agricultural text corpus as a high-quality foundation for AI applications, while developing annotation guidelines and curating texts.
Role type
Research Associate (Scientific Staff) specializing in NLP and semantic technologies
Builds
Agricultural text corpora, annotation guidelines, and semantic enrichment resources for research data
Domain
Agrarian sciences, Research Data Management, Semantic Web, AI/ML
Deliverable
production ML models
Required skills
Text annotation, Semantic standards, Corpus curation, Terminology management, Data quality assessment, Training annotators, Documentation
Preferred skills
FAIR Data principles, Semantic Web technologies, Text mining, Artificial Intelligence models, Bioinformatics
Technologies
Semantic Web, Text mining, AI models
Responsibilities
Develop practical annotation guidelines based on standards and agricultural use cases, Select and evaluate texts for relevance and quality, Participate in developing concepts for semantic enrichment of research data and metadata, Prepare prototypes for utilizing developed resources, Document and disseminate project results
Seniority
Mid-level Research Associate
