I’m Robel Girmay Mokonnen, a software engineer with about 8 years of experience building full-stack applications and working with data for AI training. I enjoy turning raw structured and unstructured data into reliable, guideline-compliant training sets by doing careful annotation, labeling, and transcription, and by applying consistent quality checks to keep results accurate and usable.
I also support AI workflows through human-in-the-loop evaluation—reviewing model outputs for relevance, completeness, and instruction-following—and by analyzing and validating datasets using programming and database tools. I’m excited about remote opportunities in AI training, data annotation, AI evaluation, and related data operations, where precision, speed, and adherence to detailed guidelines matter.
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