Bethwel Kibet

I’m a detail-oriented Data Annotator with hands-on freelance experience labeling images, transcribing audio and video, and rating generative AI model outputs on the Remotasks platform. I’ve annotated over 1,000 audio and video files while sustaining 98%+ quality accuracy.

I bring practical, direct experience with large language models and generative AI through model-output rating and annotation work. I also focus on contextual relevance—checking quality, accuracy, and fit to support training and evaluation pipelines.

As a native Swahili speaker with advanced (C1) English proficiency, I’m strong at cultural nuance: identifying context, idioms, and language-specific details across English- and Swahili-language content. That helps me support localization-quality annotation and judgment-based tasks.

I’m remote-native and available to align with US Eastern and Central working hours, and I’m excited to contribute to reliable LLM data annotation, RLHF/model evaluation, and localization efforts.