Prompt + Response writer
I was writing Prompts and responses localizated for Chilean Spanish and English for United States in different use cases as Summarization, Open Q&A, Closed Q&A, Creative content, Chatbot, and others.
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My journey in data labeling began three years ago with CrowdFlower, where I focused on web search classification. I evaluated search results for relevance, which sharpened my analytical skills and allowed me to contribute to improving search algorithms. I also tackled video and image labeling, developing a keen eye for detail as I identified objects in complex visuals. "Captcha" solving was another engaging task that required speed and accuracy, making online spaces safer from bots. After CrowdFlower, I worked at Oneforma, where I wrote prompts and responses for Large Language Models (LLMs). This role deepened my understanding of language nuances and how different prompts could influence AI responses. My next stop was Super Annotate, where I continued writing prompts while also translating and localizing content for Chilean Spanish. I rated the effectiveness of prompts and responses, creating a feedback loop that refined our approach continuously. Also, at OneForma, I further honed my skills in prompt writing while emphasizing translation and localization Chilean Spanish and English.
I was writing Prompts and responses localizated for Chilean Spanish and English for United States in different use cases as Summarization, Open Q&A, Closed Q&A, Creative content, Chatbot, and others.
I was Evaluating a Rating writing Prompts and responses localizated for Chilean Spanish and English for United States in different use cases as Summarization, Open Q&A, Closed Q&A, Creative content, Chatbot, and others. Comparision side by side
I was writing Prompts and responses localizated for Chilean Spanish and English for United States in different use cases as Summarization, Open Q&A, Closed Q&A, Creative content, Chatbot, and others.
During my time at CrowdFlower, I specialized in labeling objects in video footage for autonomous vehicles. This role involved accurately identifying and annotating elements like pedestrians, cars, and traffic signs to help train machine learning models. My attention to detail was essential in creating high-quality datasets that enabled the vehicles to navigate safely and make informed decisions on the road.
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