Joselyne Asiaba

I am a Swahili data annotator and transcriptionist with a strong foundation in language technology and a growing career in AI dataset development. With hands-on experience at companies like Sigma AI, Andela AI Labs, and Go Transcript, I’ve worked on a range of projects involving Swahili text and audio annotation, transcription, and editing machine-generated outputs for clarity, grammar, and contextual accuracy.

My academic background in Information Technology from Jomo Kenyatta University of Agriculture and Technology equips me with the technical skills to navigate modern annotation platforms and collaborate effectively with global teams. I have consistently delivered high-quality linguistic data, followed strict project guidelines, and contributed valuable cultural insights to enhance AI training processes.

Beyond work, I am passionate about the intersection of African languages and artificial intelligence. I enjoy projects that promote the inclusion of underrepresented languages like Swahili in global tech systems. I am detail-oriented, deadline-driven, and always eager to learn new annotation tools or linguistic frameworks.

My career goal is to support organizations building multilingual AI tools that are inclusive, accurate, and culturally aware. I am especially interested in opportunities that combine language, technology, and social impact.