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Appen
Clickworker
CrowdSource
Data Annotation Tech
OneForma
Remotasks
Scale AI
Toloka
Telus
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VideoAI Science Communication Evaluator/Contributor. Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.
Assessed AI-generated responses for relevance, tone, and factual accuracy. Used your academic writing background to refine prompt structures and evaluate instructional quality.
Transcribed and labeled audio clips for speech recognition and natural language processing tasks. Leveraged your Swahili fluency and grammar mastery for dialect-specific annotation.
In this ongoing role, the specialist leverages scientific expertise to evaluate and enhance AI-generated science content. The primary focus is on iterating prompts, tracing errors, and assessing the scientific accuracy of LLM responses. The aim is to ensure that training data for AI systems is clear, accurate, and equitable. • Iterates and evaluates science prompts to improve LLM performance. • Identifies and documents errors in AI-generated scientific responses. • Crafts training data to support high-quality science communication for AI systems. • Applies metacognitive strategies to evaluate and refine science-based prompt-response pairs.
Labeled diverse text datasets for emotion detection, topic categorization, and user intent recognition. Applied advanced grammar and linguistic analysis to ensure semantic accuracy.
Annotated visual data for machine learning models, including object detection and scene classification. Ensured consistency in labeling across varied image sets.
Master's in biology education , Education Science
Kenya Certificate of Secondary Education, Secondary Education
Tutor
Teacher on Practice
