Francis Wambugu
German Teacher
Experience
German Teacher
Goethe Institut-Nairobi
- Teaching German literature and linguistics
Senior German Data Annotator
Outlier
- Managed the annotation and labeling of German-language datasets for machine learning and AI applications
- Assisted in training and fine-tuning AI models by providing high-quality labeled data
- Conducted named entity recognition (NER), text classification, speech-to-text corrections, and sentiment analysis
- Ensured annotation consistency by developing guidelines and best practices
- Collaborated with data scientists and engineers to refine annotation workflows and optimize training data
- Reviewed and provided feedback on crowdsourced annotation projects to ensure quality control
- Trained new team members on annotation tools and linguistic best practices
German Language Data Specialist
RWS
- Annotated and categorized large datasets to enhance chatbots, virtual assistants, and AI-driven translation tools
- Performed lexical analysis and grammar corrections for NLP models
- Worked closely with researchers to evaluate language model performance
- Assisted in multi-language data projects, ensuring German translations maintained contextual accuracy
Industries Experience
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Experienced in Education (0.5 years), Information Technology (0.5 years), and Professional Services (0.5 years).
Business Areas Experience
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Experienced in Quality Assurance (1 year), Information Technology (0.5 years), Product Development (0.5 years), and Research and Development (0.5 years).
Summary
Highly skilled German Data Annotator with 7 years of experience in text annotation, data labeling, and linguistic analysis. Expertise in natural language processing (NLP), sentiment analysis, and AI training data preparation. Adept at working with machine learning models, maintaining data accuracy, and improving AI language comprehension. Passionate about linguistic data quality and optimizing annotation processes.
Skills
German Language Proficiency
Data Annotation & Labeling
Nlp & Linguistic Analysis
Sentiment Analysis
Machine Learning Model Training Support
Text Classification & Entity Recognition
Quality Control & Data Validation
Use Of Annotation Tools E.g. Prodigy, Brat
Attention To Detail & Accuracy
Collaboration With Data Scientists & Ai Teams
Annotation Tools: Prodigy, Brat, Doccano
Nlp Frameworks: Spacy, Nltk, Tensorflow
Project Management: Jira, Trello, Asana
Data Processing: Excel, Google Sheets, Python (Basic Familiarity)
Languages
Education
University of Stuttgart
Bachelor’s Degree in Linguistics · Linguistics · Stuttgart, Germany
Certifications & licenses
Data Annotation & Labeling Best Practices
NLP Fundamentals & Machine Learning For Language Processing
Profile
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