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AudioI am an experienced data annotator and AI training data specialist with a strong background in linguistics, translation, and digital content creation. My work includes advanced quality assessment and annotation for AI projects at Invisible Technologies and RWS Moravia, with a focus on RLHF (Reinforcement Learning from Human Feedback) and SFT (Supervised Fine-Tuning). I have led teams for Outlier’s AI training initiatives and have hands-on experience coordinating interdisciplinary groups for data-centric projects. My expertise spans natural language processing, compliance research, and editorial oversight, supported by advanced proficiency in tools such as Trados, Slack, Trello, Google Analytics, and PowerBi. I am committed to delivering high-quality labeled data on strict deadlines and thrive in roles that require both precision and leadership.
Data Labelling for AI-generated images, involving facial expression recognition and corrections.
Helped train an LLM in its voice recognition capabilities in Spanish. The project involved data collection and recording of samples as well as engineering conversations with up to 4 participants.
Worked evaluating and revising the work of a large team of annotators that trained a text-based LLM on different tasks.
Contrasted and compared LLMs responses to natural prompts, while also fine tuning and reinforcing different aspects of the model's behavior.
Master of Fine Arts, English
Bachelor of Arts, English Literature and Linguistics
Editorial Director
Senior Research Analyst in Compliance
