Detail-oriented data annotation professional experienced in AI/ML projects, delivering high-accuracy transcriptions, evaluations, and annotations in Swahili and English. Adept at remote collaboration and quality assurance.
Skilled in annotating text, audio, and video data for AI/ML training with high accuracy and consistency.
Experienced in transcribing and segmenting audio files with a focus on precision and detail.
Proficient in evaluating AI outputs for relevance, factual correctness, and adherence to guidelines.
Effective in coordinating with global teams remotely, ensuring timely project delivery.
Clickworker GmbH
Annotate and label large volumes of text, audio, and video data for AI/ML projects, processing over 100 audio files weekly.. Maintain over 95% transcription accuracy, applying detailed project-specific guidelines to ensure consistency and precision.. Conduct quality checks and peer reviews to validate transcriptions and segmentations for natural language accuracy.. Collaborate with international teams through online platforms to meet deliverables within strict timelines.. Categorize multimedia data, ensuring clear and accurate labeling aligned with linguistic and contextual meaning.
Appen Ltd.
Performed text evaluation, relevance ranking, and data annotation for AI training datasets.. Reviewed AI-generated outputs for factual accuracy and contextual relevance in Swahili and English.. Provided feedback to improve linguistic accuracy and cultural appropriateness of AI language models.. Ensured adherence to quality and ethical guidelines across multiple annotation projects.
Bachelor of Science
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