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TagtogData Annotation TechNo subject matter listed
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VideoI specialize in data annotation, AI training data, and quality assurance for machine learning projects, with hands-on experience in both computer vision and NLP domains. At Innodata, I process and annotate raw video data for robotics and contribute to multimodal generative AI projects, supporting clients like OpenAI and Meta. My work includes prompt engineering for large language models and rigorous evaluation of AI-generated content to ensure data integrity. I am proficient in Python, TensorFlow, Keras, OpenCV, Tesseract, and spaCy, and have used tools like TagTog for clinical text annotation. My academic background in AI/ML and linguistics, combined with my fluency in Chinese and experience with big data processing, enables me to deliver high-quality, reliable datasets for diverse AI applications, from medical symptom triage to multilingual OCR pipelines.
This content revolved around existing photos, text, and videos captured by clients to be rated on satisfactory ai standards to Meta.
Rating images produced from text, video, and other images to create new images from Meta and OpenAI.
Rated generative AI outputs to fit Facebook Meta standards and created dialogue scenarios to predict future agent/ai interactions.
Labeled parts of speech, that are later used to improve output predictions of coverage approvals based on scribe's work.
Master of Science, Artificial Intelligence and Machine Learning
Bachelor of Arts, Linguistics
Sales Associate & Clerical Assistant
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