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Data Annotation Tech
Labelbox
Remotasks
Scale AI
Image
Text
DocumentI have experience working on AI-related tasks involving data quality, structured evaluation, and training-oriented workflows, including work through platforms and companies such as Outlier and Revelo. This experience helped me develop strong skills in reviewing outputs carefully, following detailed guidelines, identifying inconsistencies, and handling tasks that require precision, analytical thinking, and good judgment. My broader background in Python, backend systems, and AI-related projects also gives me a stronger technical understanding than a typical labeling-only profile, which helps me work well with complex data and understand how training data impacts real system behavior. In addition to that, I have experience in research and production environments where dealing with ambiguous data, validating information, and maintaining quality across multi-step processes was part of the job. That makes me especially strong in tasks related to annotation quality, data structuring, edge-case analysis, and clear reasoning. I believe what sets me apart is the combination of hands-on AI training experience, technical depth, and a very careful and consistent approach to quality.
My goal at this job was compare images and check the AI answer. I must evaluate the AI classification in different dimensions.
My goal at this job was write some questions and then provide the code answer for theses questions. Then an AI provides the answer for the same questions and I must to compare both answer giving some feedback to improve the AI when necessary.
Doctor of Philosophy, Computer Science
Non-Degree Studies, German as a Foreign Language
Data Scientist
Software Engineer
