Audio and Video Transcriber | Appen CrowdGen | Remote
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Audio and Video Transcriber (CrowdGen). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen, Other, and Telus. Education includes Master of Science, Massachusetts Institute of Technology (MIT) (2025) and Bachelor of Science, Kisii University (2024). AI-training focus includes data types such as Audio, Text, and Image and labeling workflows including Transcription, Translation, and Localization.
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Provided high-accuracy transcription and annotation for complex audio datasets to support speech-to-text model training. Ensured phonetic and contextual correctness by leveraging linguistic tools and established annotation guidelines. Focused on delivering consistent, high-quality labeled outputs suitable for downstream model optimization. • Transcribed and annotated speech content • Applied linguistic rules for phonetic/context accuracy • Maintained data quality for robust training • Produced labels aligned to speech-to-text pipeline needs
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Engineered and reviewed Swahili language prompts to improve multilingual model performance and cultural nuance. Conducted rigorous quality assurance checks to ensure localized content met global model standards. Worked on prompt localization quality to support more reliable multilingual outputs in AI pipelines. • Authored Swahili prompt variants for modeling needs • Reviewed prompts for linguistic and cultural correctness • Performed QA testing against localization standards • Ensured consistency for multilingual model behavior
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Bachelor of Science, Computer Science
Master of Science, Computer Algorithms and Artificial Intelligence
Prompt Response Writer
AI Specialist