Data Annotator
Did text prompt and response evaluation, red teaming, image and video annotation and LLM analysis.
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I am a multidisciplinary AI professional with hands-on experience in data annotation, labeling, and training data creation for large language models and virtual reality applications. My background includes working on multilingual datasets, prompt engineering, RLHF, instruction tuning, and hallucination detection, with a focus on NLP and conversational AI. I have contributed to projects involving entity recognition, summarization evaluation, bias identification, and chatbot alignment, using tools such as Labelbox, SuperAnnotate, Scale AI, and CVAT. I am skilled at evaluating and refining AI outputs, translating and transcribing data (including legal and educational content), and providing detailed human-in-the-loop feedback to improve model accuracy. My technical proficiency in Python scripting, JSON, and various annotation platforms supports my ability to deliver high-quality, reliable training data for cutting-edge AI systems.
Did text prompt and response evaluation, red teaming, image and video annotation and LLM analysis.
Bachelor of Science, Analytical Chemistry
Co-Founder
Transcriptionist