AI Trainer, Feb 2024 - Present

During my time as an AI Trainer at Data Annotations, I had the incredible opportunity to work remotely on various coding projects, contributing significantly to developing and evaluating AI chatbots, including OpenAI's! My role involved training these chatbots to code and continuously improving their performance by evaluating and comparing two responses. I leveraged my proficiency in programming languages like Python, C++, Pandas, JS, and much more to create innovative solutions for analyzing chatbot data, ensuring that the code and solutions generated were of the highest quality and accomplished what was asked of them.

One of the most rewarding aspects of this position was assessing the performance of AI-generated code and optimizing the chatbots' capabilities when they return faulty code. This process included annotating text data to help the chatbots understand and generate more accurate and contextually relevant responses; one example of this could be as simple as the AI failing to preprocess the data before reading it, meaning not all data values may be in the same format. By labeling data to identify user intent, key entities, and sentiment, I enhanced the AI models' accuracy and understanding of context. This experience not only allowed me to contribute to advancements in AI chatbot development but also gave me a profound appreciation for the impact of well-trained AI on improving user interactions.