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Appen
Clickworker
CVAT
Labelbox
Mindrift
OneForma
Remotasks
Toloka
Telus
Scale AI
Audio
Image
Text
Bounding Box
Cuboid
Fine-tuning
Mapping
Object DetectionI am an experienced AI data labeling professional with over 5 years of expertise in image and video annotation, multilingual language model evaluation, and text generation in English and Swahili. I’ve worked on diverse projects using tools like CVAT.ai, Google EWOQ, and CrowdCompute, delivering precise and high-quality annotations. My experience includes segmenting and labeling image data, classifying text, and evaluating search engine results to improve relevance and user satisfaction. Notable projects include supporting multilingual reasoning tasks in Fireweed Falcon-LLM, where I annotated and corrected model outputs across various languages, and performing sentiment analysis and categorization for search engine optimization.
Record utterances, typically short sentences or phrases known as hotwords, in my native language and by following the instructions given on the screen before the hotwords.
Performing search engine result annotations, classifications, and sentiment analysis. Categorizing and ranking search results for relevance and localization, improving search accuracy and user satisfaction.
Annotating and evaluating multilingual language model outputs, focusing on identifying and correcting errors. Working with prompts and responses in Swahili to enhance LLM reasoning and ensure high-quality outputs.
Annotating photos using Google’s EWOQ and CrowdCompute systems. Following strict project guidelines to deliver accurate and consistent annotations for various datasets.
Ensured precise object masking with minimal overlap, contributing to computer vision model training.
Diploma in Computer Studies, Computer Studies
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