At Remote Projects, I annotate and review text data for AI language model training, and evaluate AI-generated responses for clarity, accuracy, relevance, and safety.
I write and test prompts to improve model responses, flag incorrect or unsafe content, and document common errors to support annotation guideline improvements.
In academic and independent NLP projects, I assisted with text classification and dataset organization. I cleaned and labeled text datasets and used basic Python tools for preprocessing and simple analysis.
As a part-time and freelance Data Annotation Assistant, I worked on text and audio labeling and reviewed annotations for accuracy and consistency. I’m fluent in English and Swahili and available for remote work.
