Data Labeler for Stellar AI
The project consists on creating realistic dekstop scenario of users through a virtual machine and then data labeling all the present interactive elements
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I am an experienced AI Trainer and Red Team Specialist with a strong background in LLM evaluation, data annotation, and prompt engineering. My work involves designing technical prompts, creating scoring rubrics, and grading outputs for factual accuracy and reasoning across business and technical domains. I have hands-on experience with adversarial testing, prompt injection, and bias elicitation using Python and tools like Ollama, and I actively contribute to the improvement of AI safety. My expertise spans collaborating with international teams, automating evaluation processes, and leveraging tools such as Microsoft Office, Google Suite, and various digital HR platforms. I am passionate about ensuring high-quality, reliable AI training data and have a proven track record in both technical and leadership roles within global projects.
The project consists on creating realistic dekstop scenario of users through a virtual machine and then data labeling all the present interactive elements
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